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Scientists conceal discrepancies between the second law of thermodynamics and experiments, using sound speed measurement as an example.Scientists don't need to make themselves like mice just for the sake of the second law of thermodynamics.Below is a specific explanation.
1,According to the second law of thermodynamics, the relationship between the second VIRIAL COEFFICIENT βa of sound velocity and the second VIRIAL COEFFICIENT B of the equation of state can be obtained.
βa=2B+2*(r-1)dB/dT*T+(r-1)2/r*T2*d2B/dT2(1)
2,Scientists obtain βa,r by using resonance method to measure the speed of sound (which is relatively accurate)
3, Through formula (1), scientists obtain Bth. Normal scientists should compare Bth and Btest, but all such papers avoid this comparison.
4,Scientists used statistical mechanics to deduce the relationship between molecular interactions from Bth, and thus achieved great success. Scientists are very foolish and have never considered whether Bth is correct.
5,Scientists compare Bth and Btest privately, and if they match, they have already published it. Because it does not comply, publishing it would offend believers of the second law of thermodynamics.
6,Scientists do not need to conceal facts and boldly disclose the degree of agreement between formula (1) theory and experiment.
7,Scientists conceal discrepancies between the second law of thermodynamics and experiments, using sound speed measurement as an example.Scientists don't need to make themselves like mice just for the sake of the second law of thermodynamics.
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Discrepancies between theoretically derived Bth and experimentally measured Btest don’t necessarily mean the second law of thermodynamics is violated. They often signal mismatches in modeling assumptions (like the interaction potentials used, the validity of low-density approximations, or the neglect of higher-order terms) or arise from experimental complexities that are not perfectly captured by idealized theory.
More deeply, this raises a philosophical challenge: we often assume the observer is external and separable from the system, applying laws as if from outside. But in many contexts — especially when pushing the boundaries of precision — the act of measurement itself couples observer and system. This recursive entanglement can generate subtle feedbacks, not because the second law fails, but because our models implicitly exclude the observer’s embeddedness.
Perhaps instead of seeing these mismatches as evidence of concealed failures, we should see them as opportunities to refine where and how we draw the line between system and observer — and to explore when that line starts to blur.
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Scientists believe that entropy is the direction that governs thermal motion, erasing the dominant role of classical physical science (determinism, entropy reduction).
1. Linear electromagnetic oscillator (LC circuit, CO2 molecule, H2O molecule): Energy storage and conversion have frequency characteristics. This depends on classical physical science, which to some extent governs the direction of thermal motion.
2. The spatial distribution of linear electromagnetic oscillators can be artificially arranged (in the technical field), affecting the spatial and temperature distribution of thermal energy (generating temperature differences), which violates the second and zero laws of thermodynamics.
3. Scientists believe that entropy is the direction that governs thermal motion, erasing the dominant role of classical physical science (determinism, entropy reduction).
4.See image for details
5.Mechanical oscillators can also generate temperature differences and entropy reductions, please refer to the link for details
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Just two minor comments:
- Both Galileo and Aristotle were right: two objects with the same size and different masses fall with the same acceleration in vacuum, but fall with different acceleration when not in vacuum (the buoyancy force makes the difference, so no paradox).
- The suggestion for "Using free energy instead of entropy to determine thermodynamic direction" is just what the Thermodynamics' second law concludes for a system in equilibrium with a thermal reservoir (environment): the variation of the Gibbs energy of the system coincides with the variation of the total (system plus environment) entropy with opposite sign.
ΔST = ΔSe + ΔS = –ΔH/T + ΔS = –(ΔH – TΔS)/T = –ΔG/T
or ΔG = –TΔST
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There is no equilibrium state in an isolated system, and the second and 0th laws of thermodynamics fail.
2. Nonequilibrium fluctuation test
The helium and carbon dioxide in the container are mainly carbon dioxide in the lower part of the container, and are near its critical point, so the fluctuation energy of the gas is large. The upper half of the container is mainly composed of helium, which is a conventional gas. The fluctuation energy is small. The fluctuation energy of the lower part will be transferred to the upper part, which will destroy the thermodynamic equilibrium probability distribution of the upper and lower parts of the container. The average internal energy of the lower gas is converted into fluctuation energy, while the fluctuation energy of the upper gas is converted into average internal energy, resulting in an increase in the temperature of the upper helium and a decrease in the temperature of the lower carbon dioxide. The thermal equilibrium cannot exist, and the 0th law and the 2nd law of thermodynamics fail at the same time.
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I’ve recently published a short research paper titled:
" A Numerical Simulation of Spherical Tank Drainage Using the Modified Euler Method: A Physics-Based Approach "
It presents a simplified yet insightful Modified Euler’s method for solving differential equations and an physical applications on it.
Feel free to check it out, and if you find it useful, I’d really appreciate your recommendation on ResearchGate.
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IAPS84: High precision equation of state for water vapor, with a deviation rate of 15-20% for specific heat and sound speed obtained according to the second law of thermodynamics
Notes:(See image for details)
1. Deviation rate between water vapor thermal properties table IAPS84 and experiment
2. The accuracy of the state equation is very high, with specific heat and sound velocity obtained according to the second law of thermodynamics (Formula 1) ranging from 15% to 20%.
3. In Formula 1, "dP/dT * T" is the contribution of the second law of thermodynamics, which separates the "dP/dT * T" in sound velocity and specific heat and estimates a deviation rate of 40-50% through experimental comparison.
4. The water vapor thermal properties table IAPWS97 has made great progress, which is due to the combination of data.
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I’ve recently published a short research paper titled:
" A Numerical Simulation of Spherical Tank Drainage Using the Modified Euler Method: A Physics-Based Approach "
It presents a simplified yet insightful Modified Euler’s method for solving differential equations and an physical applications on it.
Feel free to check it out, and if you find it useful, I’d really appreciate your recommendation on ResearchGate.
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Notes:
A: Figure 1 is from the authoritative book "The Properties of Gases and Liquids", and the enthalpy change H1 is calculated from the equation of state. From Figure 1A, it can be seen that the accuracy of the state equation is high, but the deviation rate of enthalpy change derived is large. The theoretical basis for the derivation is the differential equation of the second law of thermodynamics.
B, Plot the deviation rate of the state equation (<1%) and enthalpy change deviation rate (as shown in Figure 2), without considering two outliers, and calculate the deviation rate in a regular pattern. The fitted line intersects with the y-axis at point C (0,0.146), and the calculated deviation rate of the differential equation of the second law of thermodynamics is 14.6%.
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IAPWS95 uses the second law of thermodynamics (η=1-T1/T2) to calculate the specific heat of water vapor, with theoretical and experimental deviations of 5-15%.
NOTES:
1. The figure above is IAPWS95's calculation of the specific heat of water under high pressure and the experimental deviation rate of 5-15%.
2, the proportion of specific heat determined by the second law of thermodynamics is not large, and the actual deviation rate of the second law of thermodynamics is much larger than 5-15%.
3, at high pressure, the second law of thermodynamics does not hold, and it does not hold at low pressure. The reason "η=1-T1/T2" includes only the temperature (molecular kinetic energy) and does not take into account the potential energy of the molecular interaction.
4,Scientists have long known that using the second law of thermodynamics (η=1-T1/T2) to calculate the thermal properties of working media does not agree with experiments. They favour and protect the second law of thermodynamics, damaging the reputation of the scientific community.
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The second law of thermodynamics fears experimental verification under extreme conditions, while relativity welcomes it.
Extreme conditions often validate the correctness of physical theories, while general relativity favors black holes, neutron stars, and large-scale experimental data in the universe. All of these prove the correctness of general relativity, and quantum mechanics is no exception.
The second law of thermodynamics favors simple, non quantitative empirical phenomena. Diffusion, heat conduction, frictional heat generation, rolling dice. High pressure, critical point, low-temperature thermal properties, the second law of thermodynamics, and experiments do not comply. Scientists find many reasons: due to fluctuations, uncertainty, hydrogen bonding, and biased data fitting. Science has developed for hundreds of years, and the technical problems of measurement and data processing have long been solved.
3. Compare the second law of thermodynamics with general relativity. The second law of thermodynamics requires theoretical and experimental agreement under any extreme conditions for this theory to hold true.
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Dear Bo Miao
That's an interesting perspective! The second law of thermodynamics, which states that entropy in an isolated system tends to increase over time, can be challenging to verify under extreme conditions. This is because at very small scales or in extremely high-energy environments (like black holes or quantum systems), the behaviour of entropy can be influenced by factors that are hard to measure directly. In some cases, such as near absolute zero, the typical increase in entropy may be hard to observe due to quantum effects or limitations in experimental precision.
On the other hand, special and general relativity have been extensively tested in extreme conditions, such as near black holes, during high-speed particle collisions, and with precise instruments like GPS satellites.
The predictions of relativity have been verified in a wide range of scenarios, making it one of the most experimentally supported theories in physics.
It’s intriguing how both these fundamental laws of physics interact with the limits of experimental verification!
Thanks for your time.
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It is assumed, quite surprisingly, that the transition matrix models of quantum mechanics are the projection of those of classical statistical physics!
2D QM models can be the projection of 3D classical statistical physics models (Hypercubes) and similarly, 1D QM models can be the projection of 2D classical statistical physics models [1,2].
Ultimately, a strong relationship between classical physics and quantum physics is found.
1- RG, Cairo Techniques Solution of Schrödinger's partial differential equation - Time dependence, March 2024.
2- ANDREI KHRENNIKOV, Endophysics, Time, Quantum and Subjective, pp. 389-407 (2005),
TO QUANTUM MECHANICS BY PROJECTION OF CLASSICAL STATISTICAL MECHANICS ONTO PRESPACE
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This is a serious question that has never been answered before.
Cairo Statistical Theory of Techniques shows a rigorous way to combine classical and quantum physics!
Below we prove beyond doubt how any classical energy density (such as EM energy density, gravitational energy density, etc.) evolves spontaneously and inevitably towards an initial quantum steady state.
By quantum steady state here we mean a stationary solution at ψ^2 (ψ^2=ψ. ψ*) rather than ψ itself and in a secondary step, ψ can be found as the SQRT of the solution.
Note that the quantum vector V1 is the projection of the initial unit space of the energy density situation of classical physics which means,
V1 is a 3D spatial state quantum vector for a classical physical situation of 4D energy density.
V1 is a 1D spatial state quantum vector for a classical 2D initial physical situation, as shown in the presented figures.
Here, the starting conditions of the classical physics situation are:
Infinite free space that has neither BC nor source term.
The classic system is contained within a closed control volume with a classic inward-pointing tangle.
For more clarity, we can compare the formation and explosion of the numerous Big Bangs which are subject to the same physical process.
In the following, we present the correct answer to this question through two illustrative examples A (3D geometric shape) and B (2D geometric shape) [1].
1-Example (A) 3D-Cube discretized into 27 equidistant free nodes as shown in fig.1.
Fig,1-Cube discretized into 27 equidistant free nodes as shown in fig.1.
The statistical theory of Cairo techniques defines the transition matrix B of classical physics (27x27) for the control volume.
B(27x27) for RO=0 (RO=0 means free space) is given by,
.0 1/6   0 1/6   0   0   0   0   0 1/6   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0
1/6   0 1/6   0 1/6   0   0   0   0   0 1/6   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0
0 1/6   0   0   0 1/6   0   0   0   0   0 1/6   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0
1/6   0   0   0 1/6   0 1/6   0   0   0   0   0 1/6   0   0   0   0   0   0   0   0   0   0   0   0   0   0
0 1/6   0 1/6   0 1/6   0 1/6   0   0   0   0   0 1/6   0   0   0   0   0   0   0   0   0   0   0   0   0
0   0 1/6   0 1/6   0   0   0 1/6   0   0   0   0   0 1/6   0   0   0   0   0   0   0   0   0   0   0   0
0   0   0 1/6   0   0   0 1/6   0   0   0   0   0   0   0 1/6   0   0   0   0   0   0   0   0   0   0   0
0   0   0   0 1/6   0 1/6   0 1/6   0   0   0   0   0   0   0 1/6   0   0   0   0   0   0   0   0   0   0
0   0   0   0   0 1/6   0 1/6   0   0   0   0   0   0   0   0   0 1/6   0   0   0   0   0   0   0   0   0
1/6   0   0   0   0   0   0   0   0   0 1/6   0 1/6   0   0   0   0   0 1/6   0   0   0   0   0   0   0   0
0 1/6   0   0   0   0   0   0   0 1/6   0 1/6   0 1/6   0   0   0   0   0 1/6   0   0   0   0   0   0   0
0   0 1/6   0   0   0   0   0   0   0 1/6   0   0   0 1/6   0   0   0   0   0 1/6   0   0   0   0   0   0
0   0   0 1/6   0   0   0   0   0 1/6   0   0   0 1/6   0 1/6   0   0   0   0   0 1/6   0   0   0   0   0
0   0   0   0 1/6   0   0   0   0   0 1/6   0 1/6   0 1/6   0 1/6   0   0   0   0   0 1/6   0   0   0   0
0   0   0   0   0 1/6   0   0   0   0   0 1/6   0 1/6   0   0   0 1/6   0   0   0   0   0 1/6   0   0   0
0   0   0   0   0   0 1/6   0   0   0   0   0 1/6   0   0   0 1/6   0   0   0   0   0   0   0 1/6   0   0
0   0   0   0   0   0   0 1/6   0   0   0   0   0 1/6   0 1/6   0 1/6   0   0   0   0   0   0   0 1/6   0
0   0   0   0   0   0   0   0 1/6   0   0   0   0   0 1/6   0 1/6   0   0   0   0   0   0   0   0   0 1/6
0   0   0   0   0   0   0   0   0 1/6   0   0   0   0   0   0   0   0   0 1/6   0 1/6   0   0   0   0   0
0   0   0   0   0   0   0   0   0   0 1/6   0   0   0   0   0   0   0 1/6   0 1/6   0 1/6   0   0   0   0
0   0   0   0   0   0   0   0   0   0   0 1/6   0   0   0   0   0   0   0 1/6   0   0   0 1/6   0   0   0
0   0   0   0   0   0   0   0   0   0   0   0 1/6   0   0   0   0   0 1/6   0   0   0 1/6   0 1/6   0   0
0   0   0   0   0   0   0   0   0   0   0   0   0 1/6   0   0   0   0   0 1/6   0 1/6   0 1/6   0 1/6   0
0   0   0   0   0   0   0   0   0   0   0   0   0   0 1/6   0   0   0   0   0 1/6   0 1/6   0   0   0 1/6
0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 1/6   0   0   0   0   0 1/6   0   0   0 1/6   0
0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 1/6   0   0   0   0   0 1/6   0 1/6   0 1/6
0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0 1/6   0   0   0   0   0 1/6   0 1/6   0
And the time-independent stationary transfer matrix D(N) for a sufficiently large time N (N is the number of iterations or time jumps dt not to be confused with n the number of free nodes) is given by:
D(N)={1/(I-B) -I}
The numerical values ​​for the inputs of D(N) are,
. . . . . . .  . . . . .Line1- 0.11217139924042430 0.39097856453321000 4.6769216489284893E-2 0.39109945997946949 9.3594337527814389E-2 2.8917725571791415E-2 4.6825121038529496E-2 2.8936273137263536E-2 1.1071538930203321E-2Lin2-  0.39245121669051708 9.3427323090059911E-2 2.8815705697913047E-2 9.4099292136797519E-2 5.7873202288345083E-2 2.2118458029200764E-2 2.9057496590432032E-2 2.2174362578445368E-2 1.0013027641488021E-2
. . .  . . . .
. . . . . . .  .
The matrix D(N) when multiplied by any classical energy density state GT zero will yield the quantum stationary state vector V1 as given below,Line14- 5.9522930308185402E-2 0.11488249791384746 5.7197832143438897E-2 0.11653613666887269 0.45840470771955916 0.11532751395682590 5.8069610117386164E-2 0.11560704495552804 5.7678086265005757E-20.12615384982071848 0.45295668203854378 0.11322885915882226 0.46218312607510498 0.28858852722237699 0.45753292974561188 0.11653613666887269 0.45840470771955916 0.115327513956825900.12138552253472995 7.5702048174876219E-2 5.0296486271624162E-2 0.12615384982071848 0.45295668203854378 0.11322885915882226 5.9522930308185402E-2 0.11488249791384747 5.7197832143438897E-2Etc . . .“To be completed with a double symmetry”
V1=[27/272 37/272 27/272 37/272 25/136 37/272 27/272 37/272 27/272 37/272 25/136 37/272 25/136 67/272 25/136 37/272 25/136 37/272 27/272 37/272 27/272 37/272 25/136 37/272 27/272 37/272 27/272}^T
Note again that:
1- Any classical physical system of energy density contained in free space will evolve towards the quantum state vector provided it is contained in a closed control volume and driven inwards towards the center of mass CM (midpoint MP)
2-From this state it evolves towards another vector depending on the applied external potential V(x,y,z,t) included in the Schrödinger equation (central potential field, finite or infinite potential well, etc.).
3- The quantum vector V1 is the projection of the initial unit space of the energy density situation of classical physics which means,
V1 is a 3D spatial state quantum vector for a classical physical situation of 4D energy density.
V1 is a 1D spatial state quantum vector for a classical 2D initial physical situation, as shown in the presented figures.
1-Useless Math -The Complex Untold Story
  • International Journal of Innovative Science and
Research Technology ,
  • October 2024
  • DOI:
  • 10.38124/ijisrt/IJISRT24OCT1091
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Water is at the triple point, and the working fluid includes water, ice, and water vapor. The system volume remains unchanged, maintaining energy exchange with the large heat source while keeping the temperature constant. The equilibrium state has the following equation:
mg+ml+ms=m0
mgg+mll+mss=V
There are two equations, three unknown variables,, and an infinite number of equilibrium solutions in a system. The three-phase distribution of matter cannot be determined, and thermodynamics requires that the equilibrium state of a system be unique, which is inconsistent with physical facts. The thermodynamic direction advocated by the second law of thermodynamics will also be lost, such as volume expansion, which cannot determine whether it is the evaporation of liquid water or the transformation of ice into water vapor.
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...the very words you use ('large heat source') contradict what you say. There's a third very definite equation that stands behind it.
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This happened in the teaching practice of the second law of thermodynamics, where they taught students that Carnot efficiency is independent of the working fluid, and that there are physical concepts that can be separated from physical entities. The following is a specific analysis:
Thermal engine system: pistons, containers (geometric boundaries), heat sources (energy boundaries), etc. are all centered around the working fluid, and calculating thermal power conversion is studying the working fluid. The Carnot efficiency is independent of the working fluid, and is detached from physical entities, becoming a concept suspended in the air.
2. This one is wrong, the entire second law of thermodynamics is incorrect.
3. Entropy is the logical successor of Carnot's law and cannot be used to justify it here.
4. Carnot efficiency is reversible thermodynamics and irreversibility cannot be used to justify it here.
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Bo Miao Sandeep Jaiswal Jixin Chen & ResearchGate Community
  • Dear Bo and Sandeep Jaiswal,
  • Reevaluating the Second Law of Thermodynamics The notion that entropy can remain constant in open systems is a compelling area of investigation. While the Second Law posits that entropy in isolated systems tends to increase, open systems—which exchange energy and matter with their surroundings—can indeed exhibit dynamic behaviors that deviate from this principle. However, the constancy of entropy in such systems is contingent on specific conditions, such as achieving a dynamic equilibrium between incoming and outgoing flows. This equilibrium is rare and context-dependent, making it more of an exception than a general rule. Therefore, asserting that the Second Law "does not universally apply" necessitates a precise delineation of the conditions under which this claim holds.
  • Heat Engine Efficiency and Carnot's Principle The challenge to Carnot efficiency based on the influence of the working substance is an intriguing perspective. Carnot's formulation assumes an idealized, lossless system and asserts that the maximum efficiency of a heat engine depends solely on the temperatures of the reservoirs, not the working substance. While real-world systems often deviate from these ideal conditions due to factors like viscosity and thermal conductivity, concluding that the working substance fundamentally alters Carnot efficiency would require rigorous experimental and theoretical evidence. Until such evidence is provided, Carnot's efficiency remains a cornerstone of thermodynamic theory, serving as a theoretical upper limit rather than a practical guarantee.
  • The Arrow of Time and Restoring Time Symmetry The suggestion that time symmetry can be restored in open systems with constant entropy is a fascinating proposition. The arrow of time is deeply rooted in the statistical nature of entropy increase, as articulated by the Second Law. If a system can maintain constant entropy over time, it raises profound questions about the relationship between time's unidirectional flow and entropy. However, it is essential to distinguish between the philosophical and physical interpretations of time's arrow. Any proposed restoration of time symmetry must align with empirical evidence and the foundational principles governing irreversible processes in macroscopic systems.
  • Conclusion Your research presents a thought-provoking challenge to conventional thermodynamic principles, particularly regarding open systems. While these ideas hold the potential to expand our understanding, the conclusions require robust mathematical modeling, experimental validation, and alignment with established physical laws. I look forward to engaging further and exploring the specific methodologies and results from your work.
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The working fluid is the core of the heat engine, and the Carnot efficiency is independent of the working fluid (core). Do you believe in the second law of thermodynamics?
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It's a bit illogical, I won't argue anymore. Carnot efficiency is independent of the working fluid -—— the second law of thermodynamics violates common sense and is lower than the average level of human intelligence.
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Conclusion of the 2nd law of thermodynamics is that the Carnot efficiency of carbon dioxide, water vapor, liquid water, solid water... is 1-T2/T1. Do you believe it?
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You have been given the original formulations by the original authors of the second law and a logical deduction above. If your textbooks convert this into an odd quantitative statement, their authors or translators did a bad job.
The actual second law is, as shown in my previous post, a pretty basic statement, so what you are fighting against has actually never been the second law. i get that after all the time you wasted on this that is hard to grasp.
The quantified threshold (not prediction) of the second law with respect to the Carnot cycle is:
"Es gibt keine Wärmekraftmaschine, die bei gegebenen mittleren Temperaturen der Wärmezufuhr und Wärmeabfuhr einen höheren Wirkungsgrad hat als den aus diesen Temperaturen gebildeten Carnot-Wirkungsgrad."
There is no heat engine, which at given mean temperatures of of heat input and output provides a higher efficiency than the Carnot efficiency calculated from these temperatures.
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  1. The calculation results of the first and second laws of thermodynamics are different.
  2. The calculation method of the second law of thermodynamics involves data piecing together, resulting in a compromise between theory and experiment. It is believed to cause differences between the two, and this method is widely adopted.
  3. If the second law of thermodynamics does not use the piecing together method, its deviation from the experiment will be exposed. This patchwork method is meant to conceal this deviation. It is a shameful behavior.
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Science speaks in mathematics, and to prove the correctness of the second law of thermodynamics, quantitative predictions must be made and consistent with experiments.
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According to the logic of the second law of thermodynamics, it can be inferred that a person's grades are not related to their intelligence. Do you believe it? The specific derivation is as follows
1. Carnot efficiency (thermal engine function) is independent of the working fluid (thermal engine soul).
2. The function of a heat engine is not related to its soul.
3. Analogous to humans, it can be concluded that a person's academic performance is not related to their intelligence.
4,Do you still believe that Carnot efficiency (thermal engine function) has nothing to do with the working fluid (thermal engine soul).?Is this a low IQ perception?
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  1. The calculation results of the first and second laws of thermodynamics are different.
  2. The calculation method of the second law of thermodynamics involves data piecing together, resulting in a compromise between theory and experiment. It is believed to cause differences between the two, and this method is widely adopted.
  3. If the second law of thermodynamics does not use the piecing together method, its deviation from the experiment will be exposed. This patchwork method is meant to conceal this deviation. It is a shameful behavior.
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  • The second law of thermodynamics creates mathematical paradoxes by substituting formulas in mathematical calculations.
  • The second law of thermodynamics can only study the temperature of the heat source and cannot study the working fluid. Please refer to the attached diagram for details
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Only some misunderstanding of the 2nd law of thermodynamics can cause any paradox.
It simply states that any change of state of any stable system requires an expenditure of some amount of energy to account for the change.
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Compared to other scientific laws, the second law of thermodynamics lacks effective "quantitative" experimental support.
  • Energy dissipation, directional, without effective “quantitative experimental output”, cannot effectively support the second law of thermodynamics. See image for details
  • The second law of thermodynamics is just an empirical illusion, not a natural science.
  • Science follows rules and procedures
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Bo Miao The reason for the entropy increase of closed systems, in apparent conflict with the unitarity of Hamiltonian evolutions (preserving information) is the lack of information (relevant entropy) of macroscopic observers [1]. The interpretation of the second principle and the flow of time as illusions [2] amounts to a realist interpretation of physics in a deterministic universe endowed with objective laws and properties, denying the central role of the macroscopic observer and its only intersubjective macroscopic observables.
So, the thermodynamical statistical grid of reading of macroscopic observers (living beings) is the basis of irreversible evolutions, second principle of thermodynamics, irreversibility and indeterminism of quantum measurements and existence of traces of the past...
...hence of any information allowing us to ascribe physical laws and properties to the universe.
You will find more references concerning entropy, the second law of thermodynamics and the flow of time in the.
[1] , Am. J. Phys. 67, 1078 (1999)
[2] "The distinction between the past, present and future is only a stubbornly persistent illusion". Einstein, 1955, in a condolence letter to the family of his best friend and collaborator Michele Besso.
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“actual decomposition voltage < reversible decomposition voltage” indicates an error in the 2nd law of thermodynamics.Please refer to the attached diagram for details.
I hope everyone respects the experiment
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The reversible voltage is measured at zero current. The actual decomposition voltage depends on the current density and contains contributions from electric resistance (Ohm's Law) and reaction kinetics
(so-called overvoltage) which are not covered by the 2nd Law. The difference of experimental decomposition voltages and reversible voltages is not an argument against the 2nd Law.
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C.N.Yang vs Carnot: mathematical symmetry extension vs super empirical fantasy
By comparison, help everyone break free from the empirical quagmire of the second law of thermodynamics. See the picture for details.
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Your question can have a sens for a system at T=zero Kelvin. A molecule at this temperature don't oscillate but can spin in three sens or much more for a Universe with D-spatial dimensions.
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The first law of thermodynamics replaces the second law of thermodynamics.Please refer to the attached diagram for details
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Thank you. Your answers clearly demonstrate your level of discussion.
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The second law of thermodynamics switches formulas surreptitiously in mathematical calculations.
For details, see the attached figure.
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Q=f (T) is the mathematical expression of "Carnot efficiency is only related to the temperature of the heat source". DQ=df (T) The second law of thermodynamics in mathematics (S) is derived from this and the definition of dQ cannot be changed arbitrarily.
In fact, the second law of thermodynamics changes the mathematical representation of dQ.
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Abstract: There is heat exchange between two real gases at the same temperature. According to the first law of thermodynamics, the temperature changes of V1 and V2 in adiabatic cycles are not equal to 0. When the temperature change of the cycle is less than 0, thermal work conversion is achieved. Set a single heat source and restore the initial temperature T0 of the system. This is the second type of perpetual motion machine.
Please refer to the attached diagram for details
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The foolish logic of the second law of thermodynamics (Kelvin's argument): I am against the second type of perpetual motion machine, so I am right. Please refer to the attached diagram for details.
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The last part is the first and second laws of thermodynamics work together, and you can’t swap one for the other. The first law focuses on energy conservation—it tells us how much energy is moving around, whether it's being used or stored. The second law, however, tells us about the quality of that energy—whether it can still be used to do work, the natural direction of processes, and why energy is always lost in the form of heat or friction.
For example, in a heat engine, the first law can tell us how much energy is being used or lost, but only the second law can explain why the engine can never be 100% efficient and why some energy is always wasted. Ignoring the second law would mean losing these important insights into how real-world processes work.
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The second law of thermodynamics: η=1-T1/T2 is only a physical 0-order approximation.(Interaction is castrated) as shown in the picture
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Your "comprehensive" article is based on the same false assumption as this one. Read Planck's original book, it's free at Project Gutenberg and, as you said yourself, Germany in general and Planck in particular are the original sources, so he knows what assumptions he made. If you base your life on bad resources and don't want to see that, that's not the fault of my countrymen...
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The 2nd law of thermodynamics is a conjecture about the efficiency of a heat engine that deviates from reality and has become witchcraft.
Comparing the first and second laws of thermodynamics when studying heat engines, you will find that the second law of thermodynamics is purely speculative.See the picture for details.
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The question highlights the difference between how Carnot efficiency is studied in the second law of thermodynamics and how engineers approach practical thermal systems.
Writing:
The second law of thermodynamics provides a theoretical framework for understanding how thermal systems work and sets the upper limit for efficiency in converting heat into work. This theoretical limit is called "Carnot efficiency," which represents the maximum possible efficiency a heat engine can achieve when operating between two thermal reservoirs (a hot and a cold reservoir). Carnot efficiency does not require detailed knowledge of the relationships between pressure, volume, and temperature. It simply depends on the absolute temperatures of the reservoirs and is calculated as:
\[
\eta_{Carnot} = 1 - \frac{T_2}{T_1}
\]
where T₁ is the temperature of the hot reservoir and T₂ is the temperature of the cold reservoir. This equation represents the theoretical upper bound on efficiency, assuming the engine operates in an ideal, reversible manner without any energy loss.
However, this theoretical picture often differs from the practical reality that engineers face. In real-world applications, engineers need to go beyond just knowing the theoretical limits of efficiency; they must also understand how the system behaves in terms of detailed thermodynamic properties. They use equations like \( P = P(V, T) \) (pressure as a function of volume and temperature) and \( E = E(V, T) \) (energy as a function of volume and temperature) to design systems that approach these limits while accounting for real-world inefficiencies and material behavior.
In short, while the second law and Carnot efficiency provide the theoretical limits, engineers must deal with the practical aspects of system design, using detailed relationships between pressure, energy, volume, and temperature to optimize the system within those theoretical constraints.
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  • The second law of thermodynamics states that the thermodynamic entropy of an isolated system (dQ=0, ds=dQ/T=0) is constant. Statistics S=k * In (W), is it an increase?
  • The second law of thermodynamics : statistical entropy(S=k*In(W)) of an isolated system increases, while thermodynamic entropy(ds=dQ/T) remains constant.
  • Thermodynamic entropy (ds=dQ/T) is not equivalent to statistical entropy {S=k * In (W)}
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"Be more complete and logical." – Well, your statements are incomplete.
"Don't solve problems just because of a few trendy terms." – Well, please remember Clausis' famous statement about entropy (cf-, e.g., https://en.wikipedia.org/wiki/Clausius_theorem); it is an inequality, so one has to consider two different cases.
YOU started this discussion; I'm not here to do your homework.
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E - has spatiotemporal continuity, S - is statistical and does not have spatiotemporal continuity. Is it correct to write E = F + S*T together?
The second law of thermodynamics is statistical.S - is statistical and does not have spatiotemporal continuity.
It's hard to imagine a concept that exists outside of time and space.
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E is statistical to the same amount to which S is statistical, but since the trends in E can quite often be understood without explicitely invoking statistics, it is just skipped quite often in trend explanations.
E and S are both extensive quantities, so there is no spatiatemporal issue.
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  • The term 'f=ma' in the figure refers to classical physics, electromagnetics, relativity, and quantum mechanics
  • Thermodynamics and statistical physics are the results of "f = ma",
  • "f = ma" supports the second type of perpetual motion machine.
  • The opposition of thermodynamics to the second type of perpetual motion machine is not in line with logic.
  • For details, please refer to the picture.
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You are way too full of all kinds of misconceptions.
Start with a full intoductory physics
Series as the Berkly or Feyman.
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The second law of thermodynamics, including Carnot's law, is self-contradictory. For details, please refer to the picture. France is inviting scientists from all over the world to commemorate this self-contradictory theory. Isn't it funny and ironic?
One more Carnot's celebration: https://carnot-legacy.sciencesconf.org/
The colloquim, focusing on modern thermodynamics, will take place on the week following Carnot Lille 2024, which follows a more historical focus on Sadi Carnot and his publication.
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As multiple people have already informed you, your schematic has the error that the material independent efficiency is not a fixed value, but constitutes a maximum that you cannot overcome independent of the material, so the contradiction is non-existent.
But thanks for the new entertainment.
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The blackbody cavity contains CO2, and the blackbody radiation contains the characteristic spectrum of CO2, which does not satisfy the Planck formula.
  • There is CO2 inside the blackbody cavity, and radiation enters from point A with an absorption rate of 1,meets the definition of blackbody.
  • The energy density of the characteristic spectrum of CO2 inside the cavity will increase, and the outward radiation density will no longer be Smooth Planck's formula: a characteristic spectrum containing CO2.
  • The emissivity is no longer equal to 1, and varies with different filling gases.
  • Blackbodies with different emissivities emit heat from each other, resulting in temperature differences and the failure of the second law of thermodynamics.
  • See image for details
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The blackbody cavity filled with CO₂ gas. This situation introduces additional complexities to the standard blackbody radiation model, which is typically based on an idealized cavity with no interactions with gases or other materials inside it. Here are some points to consider:
Blackbody Radiation and Planck's Law
  • Ideal Blackbody: An ideal blackbody absorbs all incident radiation and re-emits it according to Planck's law, which depends only on the temperature of the blackbody and is independent of the material.
  • Planck's Formula: For an ideal blackbody at temperature TTT, the spectral radiance B(ν,T)B(\nu, T)B(ν,T) is given by: B(ν,T)=8πν2c3hνehν/kT−1B(\nu, T) = \frac{8 \pi \nu^2}{c^3} \frac{h \nu}{e^{h \nu / k T} - 1}B(ν,T)=c38πν2​ehν/kT−1hν​where ν\nuν is the frequency, ccc is the speed of light, hhh is Planck's constant, and kkk is Boltzmann's constant.
Influence of CO₂ Gas in the Cavity
  • Absorption and Emission Lines: CO₂ molecules have specific absorption and emission lines in the infrared region due to their vibrational and rotational transitions.
  • Non-Ideal Spectrum: The presence of CO₂ gas means that the radiation spectrum will show characteristic absorption and emission lines superimposed on the blackbody spectrum. These spectral lines correspond to the specific energy level transitions of the CO₂ molecules and deviate from the continuous spectrum predicted by Planck's law.
Modified Spectrum
  • Characteristic Spectrum of CO₂: The spectrum will contain peaks (emission lines) and dips (absorption lines) at wavelengths corresponding to the vibrational and rotational transitions of CO₂ molecules. This modified spectrum does not match the continuous blackbody spectrum given by Planck's law.
  • Thermal Equilibrium: If the CO₂ gas and the cavity walls are in thermal equilibrium, the gas molecules will emit and absorb radiation in a way that can still be described by Planck's law at a macroscopic level, but with the detailed structure of the CO₂ spectrum visible.
Understanding the Deviation
  • Spectral Lines Impact: The deviations from the Planck spectrum are due to the discrete energy levels of CO₂ molecules. These deviations manifest as specific spectral lines, which are not accounted for in the ideal blackbody radiation model.
  • Line Broadening: In real situations, these lines may also be broadened due to various effects such as Doppler broadening and pressure broadening, which can further modify the observed spectrum.
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Radiation perpetual motion machine: uses radiation pressure to do work and consume heat energy. ---Radiation is remote energy transfer. See image for details
  • Two identical small buckets are arranged symmetrically, with openings facing each other. The radiation rate at the bottom of the bucket is ε=1, and the rest is ε=0.
  • The two bottoms radiate energy and absorb radiation:q=εσT^4*S.
  • The force acting on the small bucket is: F=2εσT^4*S/C.
  • The speed of the small bucket increases, the kinetic energy increases, and the temperature decreases.
  • There is no limitation of the second law of thermodynamics for thermal conversion, and the second law of thermodynamics is invalid.
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When compression occur molecules get slide over each other due to which friction occur which results in rising of phonons or heat is produced. The temperature of system increases.
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  • As shown in the figure: Use a transparent solid to separate 3mol/L and 1mol/L of CO2, allowing the gases to radiate each other.
  • Radiation energy is transferred from container A (3mol/L) to container B (1mol/L).
  • Temperature: Tb>Ta
  • Scientists love to use thermal diffusion and heat transfer to explain the second law of thermodynamics, which is the result of short-range interactions. Radiation is a long-range interaction that reaches the macroscopic scale, making it easy for people to control the direction of energy transfer.
  • Solid or liquid (doping) can also be used to artificially create asymmetric radiation and control the direction of energy transfer.
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The concept of perpetual motion machines has fascinated scientists and inventors for centuries. However, it’s essential to understand that true perpetual motion machines are impossible due to the laws of thermodynamics. Let’s break down the scenario you’ve described and address the researcher’s question.
A perpetual motion machine is a hypothetical device that can perform work indefinitely without an external energy source. Such a machine would violate the laws of thermodynamics. The laws of thermodynamics apply universally, regardless of the system’s size or complexity. There are three types of perpetual motion machines:
Machines of the First Kind: These machines produce work without any energy input. They violate the first law of thermodynamics. Machines of the Second Kind: These machines spontaneously convert thermal energy into mechanical work without any input. While they don’t violate the conservation of energy, they do violate the second law of thermodynamics. Machines of the Third Kind: These machines continue to be in motion forever due to inertia, but they cannot exist in practice due to unavoidable dissipation (e.g., friction).
In your scenario, you have two containers (A and B) separated by a transparent solid. Container A contains CO2 at a concentration of 3 mol/L, while container B contains CO2 at 1 mol/L. Radiation energy is transferred from container A to container B. The temperature in container B (Tb) is higher than in container A (Ta).
You are interested in whether this setup could lead to a perpetual motion machine based on radiation. Unfortunately, this scenario does not solve the problem of perpetual motion. Here’s why:While radiation is a long-range interaction, it still obeys the laws of thermodynamics.
The second law of thermodynamics states that the entropy (disorder) of an isolated system tends to increase over time. In other words, energy spontaneously flows from hotter regions to cooler regions. In your setup, container A (with higher concentration) will naturally radiate energy to container B (with lower concentration), resulting in cooling of container A. This process cannot continue indefinitely without an external energy source.
The temperature difference (Tb > Ta) does not change this fundamental limitation.
Even if you were to achieve perfect control over radiation, the energy stored in the CO2 concentrations would eventually be exhausted. Perpetual motion machines remain theoretical and cannot be commercialized because they violate the laws of thermodynamics.
In summary, while the concept of using radiation for energy transfer is intriguing, it does not provide a solution to perpetual motion. Researchers should focus on practical and sustainable energy solutions that adhere to the fundamental principles of physics
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Scientists have abandoned experimental proof of η=1-T1/T2 and instead used experimental data to piece together η=1-T1/T2. Shameful! Please refer to the attached diagram for details:
1) Method A in the figure is a method for verifying Carnot efficiency, which scientists rarely use because the experiment deviates significantly from theoretical predictions.
2) Scientists extensively use method B in the figure, which does not involve theoretical predictions, but instead uses experiments to gather theory. This is shameful, it's data fraud. The enthalpy entropy charts we use are all pieced together using method B.
3) Scientists explain why method A is not necessary. It's because the experiment is not good, which is deceiving. Science has developed for hundreds of years, and even more rare experiments can be conducted.
4) The core is that scientists are unwilling to admit that the second law of thermodynamics is inconsistent with experiments, but this violates scientific discipline and morality.
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Everyone can compare and read to see who is bragging.
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The picture is a screenshot of the literature: 1. It illustrates the Crabelon equation derived from the second law of thermodynamics: the calculated heat of vaporization does not match the experiment.
The more precise the experiment, the more obvious the inconsistency between the second law of thermodynamics and the experiment.
3. Why would this happen? The second law of thermodynamics violates symmetry and conservation (which is the mainstream of natural science).
4,Some scientists are packaging the experimental deviations of these theories, and the data in the enthalpy entropy chart that everyone sees is completely consistent with the second law of thermodynamics, which is a deceptive illusion.
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The second law of thermodynamics is a fundamental principle in physics that describes the direction of natural processes and sets limitations on the efficiency of heat engines. It can be stated in various forms, but one common statement is that in any spontaneous process, the total entropy of a closed system plus its surroundings will increase.
While the second law has been extraordinarily successful in explaining and predicting the behavior of systems, it's worth noting that there can be challenges in applying it universally to every situation, particularly at the microscopic level or in systems that are far from equilibrium.
One reason for potential inconsistencies with experiments could be the difficulty in precisely defining and measuring quantities like entropy, especially in systems with many particles or complex interactions. Entropy is a measure of the disorder or randomness of a system, and its calculation often relies on statistical mechanics, which involves making statistical assumptions about the behavior of particles.
Additionally, at the microscopic level, there are instances where the behavior of individual particles may seem to violate the second law, leading to discussions about statistical fluctuations and the arrow of time. However, these apparent violations typically occur on very short timescales or involve very small systems and do not contradict the overall validity of the second law for macroscopic systems.
As for symmetry and conservation, the second law doesn't strictly require these properties. Symmetry and conservation principles are important in physics, but the second law is more about the directionality of processes rather than symmetries or conservations.
Overall, while the second law of thermodynamics has been extremely successful in describing the behavior of macroscopic systems, there are still ongoing debates and research efforts to understand its implications at smaller scales or in more complex systems. These discussions often lead to deeper insights into the nature of thermodynamics and the behavior of physical systems.
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1,The image comes from the scientific classic "the propeties of Gases and Liquids"
The picture is a screenshot of the literature: 1. It illustrates the Crabelon equation derived from the second law of thermodynamics: the calculated heat of vaporization does not match the experiment.
2,The more precise the experiment, the more obvious the inconsistency between the second law of thermodynamics and the experiment.
3,Even in the face of such facts, scientists still confidently persist.
4,The second law of thermodynamics does not conform to experiments, and scientists use it to make money is a scam.
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Solution to this one:
  • expansion into vacuum has a dW
  • 1st LoT: dW=-dQ
  • So dQ is not 0
So once more you have shown that if you violate the first law, you also violate the second law.
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The actual decomposition voltage is less than the reversible decomposition voltage, which violates the second law of thermodynamics.
1)Experiments show that there exists an actual decomposition voltage which is less than the reversible decomposition voltage. ==》
2)The change of Gibbs free energy is related to the path.==》
3)The cyclic integral of entropy is not zero.==》
4)The second law of thermodynamics becomes invalid.
5) Scientists can only pretend to be deaf and dumb to such a fact.
Please see the picture for details.
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The second law of thermodynamics contradicts itself. Scientists are also addicted to the surface of experience.
Galileo's introduction of Aristotle's theory of falling is contradictory, and Aristotle's theory of falling is ineffective.
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Consider a regular tetrahedron with the correlation functions for empty, point, pair, triplet and tetrahedron being u0, u1, u2, u3 and u4. Let the corresponding cluster interactions being e0, e1, e2, e3 and e4. Take the multiplicities of the clusters be m0, m1, m2, m3 and m4. Using cluster expansion, the energy of the system can be expressed as
H1= e0 m0 u0+ e1 m1 u1 + e2 m2 u2+ e3 m3 u3 + e4 m4 u4.
For the same system, the internal energy can be expressed in terms of cluster energies as:
H2= EAAAA yAAAA + 4 EAAAB yAAAB + 6 EAABB yAABB + 4 EABBB yABBB + EBBBB yBBBB.
In the above expression Eijkl and yijkl represent the cluster energies and the cluster variables respectively.
Based on the relation between the correlations ui and the clyster variables yi, both the expressions can be made equal and the relation between the ei and Eijkl can be obtained.
Based on whether the multiplicity of the tetrahedron cluster is considered or not in H2, the relation between the ei and Eijkl gets altered and thereby the related thermodynamic properties and its derived properties.
Should the multiplicity be considered in H2 or not?
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With a little investigation and calculations, it is found that the multiplicity of the cluster need not be included in H2.
Details:
Start with H1.
The correlation functions (u) can be expressed in terms of the cluster variables (y) using appropriate basis. Then collect the terms of y in the transformed expressed. In this transformed expression, it is found that the multiplicity of the maximal cluster does not get factored. So,
while expressing the internal energy using cluster energies, the multiplicity should not be included.
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The Maxwell demon utilizes temperature fluctuations to achieve a perpetual motion machine, independent of information theory.
Please refer to the attached diagram and the following text for details.
1,The Maxwell demon measures the instantaneous temperature fluctuations of a and b on both sides of the switch.
2,When Ta>Tb, the switch is turned on. Heat is transferred from a to b
When Ta<Tb, the switch is turned off. a&b Insulation.
3,Finally, the temperature difference in the container: TA<TB
4,The Maxwell demon is unrelated to information theory and satisfies Newton's laws and energy conservation.
5,Fluctuations themselves violate the second law of thermodynamics. Maxwell's demon utilizes the defect of the second law of thermodynamics.
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these preprint papers claimed reversing entropy by mixing Raoult's law with osmosis principle and extended Gibbs Donnan Equilibrium .
What do you think about this novel approach?
Title of the papers:
Experimental Demonstration of Energy Harvesting by Maxwell's Demon Device
DOI: 10.20944/preprints202403.1698.v1
....
An Autonomous Mechanical Maxwell's Demon
DOI: 10.14293/S2199-1006.1.SOR-.PP5S6NK.v1
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Abstract: There are gases in the container: N0, NO2, CO, CO2, O2. Since O2 can participate in two chemical reactions at the same time, five related equations can be generated. After simplification, a one variable nine degree equation will be obtained, which will have multiple equilibrium solutions. The second law of thermodynamics requires that the equilibrium state is unique, and the system will be in a non-equilibrium chemical state.
See image for details
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So what is the problem? You obtain more than one solution; one of them has the lowest Gibbs energy (assuming that you keep the pressure and the temperature constant), and that is the stable state.
Changing the conditions, i.e., adding a mixture component, can eventually make the system jump to another stable state. This phenomenon has been described, for instance, for the ammonia synthesis from hydrogen and nitrogen.
There is no problem with the 2nd Law.
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Gas radiation intensity is a function of space: I=I (r). This is recognized in the textbook of heat transfer. Pushing forward two more steps will result in a temperature difference (this is the second type of perpetual motion machine). Please refer to the picture for details.
The second type of perpetual motion machine for gas radiation is the simplest, easy to implement, and commercialized. The wealth generated by the second type of perpetual motion machine can satisfy everyone's desires.
The current war of Russian aggression against Ukraine is trending towards a third world war. If scientists accept the second type of perpetual motion machine, they will find that the things being fought for in the war are no longer scarce, and the war will come to an end. I hope scientists can play their role.
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我觉得外星人来锣
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Gas diffuses into vacuum, dQ=0, thermodynamic entropy dS=dQ/T=0. The second law of thermodynamics cannot be calculated.Please refer to the attached diagram for details。
"Ds=dQ/T" is defined as a reversible process that can be used, but an irreversible process that cannot be used. This violates the universality and consistency of natural science.
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The formula change in S = dQ/T refers to a particular case, that of simple thermal heating. The expansion of an ideal gas into a vacuum involves no change in energy, so this formula does not apply to that case.
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Heat transfer (gas radiation) does not support the second law of thermodynamics.
Please refer to the following text and pictures for details
Gas radiation and absorption occur throughout space, and gases at different locations absorb energy differently from remote radiation. The different amount of radiation absorbed by gases at different positions can lead to temperature differences. The second law of thermodynamics is invalid.
Do scientists have to wait until nuclear war breaks out to believe in the existence of perpetual motion machines?
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i assume this is genuine question you have raised;
leading with that,
The statement that gas radiation and absorption could invalidate the Second Law of Thermodynamics is a misunderstanding of how thermodynamics and heat transfer operate. The Second Law of Thermodynamics, in its simplest form, states that in any closed system, the entropy (a measure of disorder or randomness) tends to increase over time unless energy is put into the system to maintain or decrease entropy. This law is one of the fundamental principles underlying much of physics and engineering and is observed to hold true in countless experimentation.
Regarding the specific points raised:
1. Gas Radiation and Absorption
it true that gases at different locations can absorb radiation differently and this can lead to temperature differences across a system. However, this process does not violate the Second Law of Thermodynamics. The law does not imply that temperature differences cannot exist or that they cannot change; it primarily concerns the overall entropy of a closed system. In the context of gas radiation, the energy transfer through radiation leads to changes in temperature and can drive processes that increase the system's overall entropy.
2. Temperature Differences and Entropy
The creation of temperature differences through radiation absorption and emission is a part of how heat transfer operates in the universe. These processes, including conduction, convection, and radiation, are mechanisms for energy distribution and do not inherently contradict the Second Law. The entropy increase or decrease in a particular part of a system does not imply a violation of the law as long as the total entropy of the closed system, when considering all interactions, does not decrease.
3. Perpetual Motion Machines
The idea of a perpetual motion machine—a machine that can operate indefinitely without an energy source—is a concept that violates the First and/or Second Law of Thermodynamics. Despite extensive theoretical and experimental exploration, no such machine has been created or observed to exist. The Second Law, among other principles, indicates why perpetual motion machines are not feasible.
I did struggle to understand the non sequiator in your comments, as per the suggestion that belief in such devices is contingent on catastrophic events like nuclear war…it is not grounded in scientific reasoning.
Scientists rely on empirical evidence and theoretical consistency to validate or refute theories. The Second Law of Thermodynamics is supported by a vast body of evidence and theoretical understanding, making it one of the cornerstones of physical science. While scientific understanding evolves with new discoveries, any new theory or observation that appears to contradict well-established laws like the Second Law of Thermodynamics requires rigorous scrutiny, experimental validation, and theoretical explanation within the broader framework of physics.
best
H
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Gas radiation has no thermal equilibrium, and the second law of thermodynamics is invalid. The following pictures are all from the content of heat transfer and university physics, combined together, it is found that the second law of thermodynamics is invalid.
Please refer to the picture for details.
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Three formulas can explain that gas radiation cannot reach thermal equilibrium, and the second law of thermodynamics is incorrect.
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The second law of thermodynamics states that the number of equations is greater than the number of variables. They mutually constrain each other.
See image for details
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That's not a consequence of the 2nd law of thermodynamics, that's simply the symmetry of second derivatives [also known as Schwarz theorem, Clairaut theorem or Young theorem] which is valid for any mathematical function of state. By this method, the extremely useful Maxwell relations can be derived for a single system.
No mathematical or physical overdefinition issues observed here.
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Photon non conservation leads to the transfer of heat from low temperature to high temperature without consuming external energy.
  1. Non conservation of particles leads to the failure of the second law of thermodynamics.
  2. Does non conservation of particles require an energy cost? No need.
  3. These particles are photons.
  4. Photon non conservation is a content of quantum mechanics, can the second law of thermodynamics outperform quantum mechanics?
  5. Please refer to the pictures and the following text for details。
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pictures
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Container A contains 2mol/L of CO2, while container B contains 1mol/L of CO2.
The photon density at point A is greater than that at point B.
Radiation energy ranges from A to B.
Photons are generated at point A and annihilated at point B.
B to A can also reflux energy through thermal conduction.
This forms an energy cycle, with a temperature difference and no need for external energy consumption.
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Bo Miao "Gas radiation has very simple and direct knowledge: gas density is high, radiation is strong, which is easy to imagine."
Easy to imagine but still sometimes wrong. The power of thermal radiation is proportional to the fourth power of the temperature, the area of the (black) radiator and the Stefan-Boltzmann constant. So if you increase the density of the gas but decrease its temperature, the radiation goes down, not up. It does not depend on the density directly, but only in the way that on increasing density you often increase the temperature as well (if you compress a gas adiabatically, if will of course heat up; but if you cool it strongly enough during the compression it may have a higher density and lower temperature after compression).
"The photon density inside the gas is directly proportional to the number of radiative structures."
No. The total energy density of the thermal photons is simply proportional to T4 (and independent of how many radiative structures were necessary to get to that temperature), the spectral energy density is given by the Planck distribution (the integral of which over frequency is proportional to T4), and the number density of photons of a given frequency is given by dividing the spectral energy density by h times the frequency.
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The second law of thermodynamics should not apply the experience of pig farming to cattle farming.
  • Animal Legend: The experience of pig farming mutated and transplanted to cattle farming, achieving success.Scientists interview breeders. “Pigs and cows are both domestic animal and mammals, so they can.” "Human beings are also mammals, can they?" "No, it's against dignity."
  • The Legend of the Second Law of Thermodynamics: The transfer of empirical variations in dynamics to Carnot engines (thermodynamics) resulted in self contradiction, but gained widespread recognition.See image for details
  • This analogy tells scientists not to misuse experience.
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There are at least a dozen different meanings of entropy. Just as there are many different meanings of energy, which can apply to emotional 'energy' as well as potential energy.
However, the original definition of entropy, due to Clausius, is a state function and applies only to equilibrium states which are thermodynamically definable. A cow is living and not at equilibrium. It is not Clausius entropy that is being considered.
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Scientists have abandoned testing the correctness of Carnot efficiency (1-T1/T2) (Method A), instead of using theory to aggregate experimental data and achieve a compromise between theory and experiment (Method B).
If scientists rigorously tested the Carnot efficiency, the second law of thermodynamics would have been over long ago.
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All these types of articles are very complex, and the core content is Method B in my picture. This method is fraudulent and uses complex mathematics to deceive everyone.
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The second law of thermodynamics contradicts itself, and scientists are still foolishly worshipping entropy. Please refer to the pictures and the following text for details.
1. The second law of thermodynamics states that Carnot efficiency is independent of the thermal properties of the working fluid.
2. Later, it can be inferred that the Carnot efficiency is related to the thermophysical properties of the working fluid.
3, 1, and 2 contradict each other.
4. Thermophysical properties of working fluid: E=E (V, T), P=P (V, T).
5. Aristotle proposed the theory of falling bodies, Galileo pointed out its contradiction, and Aristotle's theory was overturned.
6.The second law of thermodynamics contradicts itself, and scientists are still foolishly worshipping entropy
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In addition, there is a problem with your argument related to Eq. (2): You claim that the expression for dQ is nonzero, and you justify this claim by stating that A and B are different gases. You explicitly show that dQ is nonzero for the case of A being an ideal gas and B being a real one, because then E_A doesn't depend on V_A, whereas E_B depends on V_B.
However, even if both gases are real ones, it is not per se clear that dQ is nonzero because dV_A and dV_B aren't independent; instead, they are coupled by Eq. (1). This introduces a minus sign in Eq. (2), so there is the chance that dQ might be zero. Therefore you need to show explicitly that dQ is nonzero.
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The second law of thermodynamics contradicts itself
The second law of thermodynamics recognized by scientists now contradicts itself, as shown in the picture:
1. The second law of thermodynamics states that Carnot efficiency is independent of the thermal properties of the working fluid.
2. Later, it can be inferred that the Carnot efficiency is related to the thermophysical properties of the working fluid.
3, 1, and 2 contradict each other.
4. Thermophysical properties of working fluid: E=E (V, T), P=P (V, T).
5. Aristotle proposed the theory of falling bodies, Galileo pointed out its contradiction, and Aristotle's theory was overturned.
Scientists are spreading and researching contradictory theories every day, and their mood is still very happy.
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The contradiction in the picture is related to the existence of entropy, which cannot avoid the problem. Without the concept of entropy, what's the point of all that confidence?
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In one sentence, the second type of perpetual motion machine in science popularization radiation:
The radiation intensity of low-density gases is directly proportional to their density. Radiating gases with different densities can create a temperature difference: high density leads to low temperature. Low density, high temperature. The second law of thermodynamics is invalid.
Below are further text, simulation images, and literature links.
1. This setting includes radiation experience: when the gas density is low, the radiation intensity is proportional to the density, and the absorption coefficient is inversely proportional to the density (the smaller the absorption coefficient, the stronger the absorption capacity)----- Domain 1 gas density=1, Domain 2 gas density=2.
2. Radiation generates a temperature difference of 2.1 ℃, rendering the second law of thermodynamics invalid.
3. This transposition can be connected in series to generate stronger heating and cooling capabilities, with low cost, and can be industrialized and commercialized.
More detailed literature links.
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It involves misconceptions related to radiation, violating the fundamental principles of thermodynamics.
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A black body composed of small holes, with glass inside the holes to separate gases with different radiation differences (such as CO2 of different concentrations or gases of different types). Allowing two gases to radiate each other can result in a temperature difference of 0.93K: gases with strong radiation have lower temperatures, which contradicts the second law of thermodynamics. Please refer to the simulation image for details.
It is easy to think of conducting experiments to verify this simulation, leaving the specifics for readers to consider.
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Entropy generation analysis as a design tool—A review
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Abstract
There is an acknowledged growing need for efficient and sustainable systems that use available energy resources in an “optimal” (including constraints) way. Such a goal cannot be effectively achieved without taking into account the limits posed by the second law of thermodynamics. A possible approach consists in the so-called entropy generation analysis, which possesses key features making it more attractive than traditional energy balance approaches. In fact, entropy generation analysis allows for a direct identification of the causes of inefficiency and opens up the possibility for designers to conceive globally more effective systems. Furthermore, thanks to its direct derivation from basic thermodynamic principles, entropy generation analysis can be in principle used for any type of energy conversion system. These attractive features have made entropy generation analysis a popular thermodynamic method for the design and the optimization of less unsustainable systems.
This paper presents a critical review of contributions to the theory and application of entropy generation analysis to different types of engineering systems. The focus of the work is only on contributions oriented toward the use of entropy generation analysis as a tool for the design and optimization of engineering systems. A detailed derivation of the existing entropy generation formulations is first presented, and the two more popular approaches are discussed: the entropy generation minimization (EGM) and the entropy generation analysis (EGA). The relevant literature is further classified in two categories, depending on whether the level of the analysis is global or local. This review will further clarify the use of entropy generation-based design methods, indicate the areas for future work, and provide the necessary information for further research in the development of efficient engineering systems.
Introduction
Since the very dawn of the human species, the need of constructing and operating efficient systems has proven to be a very powerful driver for technological development. This necessity was amplified by the introduction of energy conversion machines during the industrial revolution, leading engineers to study the best use of available energy resources and to the early development of thermodynamics [1]. More recently, the emphasis on efficiency and resources conservation has become crucial because of the currently perceived resource scarcity. As a consequence, second-law based methods that lead to guidelines for the analysis and improvement of engineering systems have become very attractive.The second law of thermodynamics asserts that the operation of real systems is unavoidably characterized by a loss of available work [2], [3]. This causes a decrease of the thermodynamic efficiency of a system with respect to an equivalent ideal (loss-free) process. Historically, the intuitive idea of loss of available work was first pointed out by Carnot. In his treatise [4], [5], he postulated that any machine with moving parts is characterized by a “loss of moment activity” due to friction and “violent effects” (which in modern terms would include both a mechanical cause of inefficiency, namely the effects of vibrations, and a thermodynamic cause, due to extreme non-equilibrium phenomena). The essence of the second law was discovered – albeit with some internal inconsistency – in 1824 by Lazare’s son, Carnot. Carnot [6] illustrated the concept of an ideal cycle that operates through a succession of reversible transformations (defined as a succession of equilibrium states). He argued that the efficiency of this cycle is – ceteris paribus – a function of the temperature of the heat reservoirs. Furthermore, Carnot correctly postulated that his ideal cycle represents a “limiting” cycle, in the sense that any real machine would achieve an efficiency lower than that of the ideal cycle. His ground-breaking work set the foundation for the concepts of thermodynamic reversibility and available work loss. Later, Clausius, Gibbs and Boltzmann [7], [8], [9], [10] gave a proper formulation of entropy and provided a mathematical foundation to the work of Carnot.It took over a century for the development of the modern concept of entropy to be completed, and here we shall dispense with the citation of the numerous and fruitful disputes among scientists, for which we direct interested readers to [11], and limit our task to briefly recall some of the currently accepted definitions. For a generic system the second law of thermodynamics states that the total entropy generation rate
is always non-negative, i.e.where S is the entropy of the system, Φi is the heat transfer rate that the system exchanges with the heat reservoir at temperature Ti and is a mass flow rate exiting (+) or entering (−) the system. According to the second law, the equality sign, i.e.
, holds only in the limit of reversible processes, while the inequality applies also to non-equilibrium processes.
The net work transfer rate
experienced by the system can be reformulated by combining Eq. (1) with the first law of thermodynamics [2]:
The thermodynamic limit of net work transfer rate occurs when a system operates reversibly, i.e.
:
Therefore, the destruction of available work is proportional to the entropy generation rate:
Which is the Gouy–Stodola theorem [12], [13]. Neither the work transfer nor the entropy generation rate are thermodynamic properties of the system: they depend on the operating conditions and especially from the boundary interactions. From Eq. (4) it follows that among all conversion systems characterized by the same upper limit
, the most efficient is the one that attains the minimum entropy generation rate.
The Gouy–Stodola theorem clearly indicates that an analyst can improve the performance of an existing system by conceiving a new design which is characterized by a lower entropy generation. In engineering, the method of identification and reduction of thermodynamic irreversibilities is commonly called entropy generation analysis (EGA). Its optimization counterpart, i.e. entropy generation minimization (EGM), aims at minimizing the losses of a system subject to a specified set of constraints.
Although the proportionality between entropy generation and destroyed useful work had been already emphasized by Gouy and Stodola [12], [13] and then used by others [14], [15], [16], [2], the interest in EGA and EGM was revived by the important contributions of Bejan [17], [18], [19], [20]. In his work, Bejan set the framework for EGA and EGM as a multidisciplinary discipline at the interface of several different fields (Fig. 1). The method is based on the application of principles of heat and mass transfer, thermodynamics and fluid dynamics for the construction of a realistic model of the system that is analysed. The model establishes a strong and explicit link between
, the topology and the physical features of the system: shapes, dimensions, operating conditions etc. This means that the model should be sufficiently detailed to capture both the phenomena that occur in the system and the effects of possible changes in the free variables that are considered, e.g. the operating conditions and/or the system geometry. The analyst exploits this link (that may be expressed by a correlation or a formula, or simply by the empirically acquired knowledge of a “trend”) in order to identify optimization opportunities, i.e. improved designs of the system, that allow a reduction (EGA) or the minimization (EGM) of . The distinct features of EGA and EGM are schematically represented in Fig. 2, Fig. 3. Entropy Generation Analysis is based on a heuristic approach [21]: the initial configuration of the system is subsequently improved by introducing possible design modifications. These changes are proposed by the analyst on the basis of critical examination of the results concerning obtained through the model of the system. Entropy generation minimization is a deterministic approach [21]: the main point is the definition of the entropy generation rate
as the objective function to be minimized, while critical parameters, such as dimensions or operating conditions are chosen as the design variables. Thus, an EGM analysis consists in the search of optimal design variables which minimize the entropy generation rate (Fig. 3).This paper reviews EGA and EGM as design tools in engineering, with particular emphasis on the improvement of thermodynamic performance of engineering systems. In the first part, studies based on black box modelling approach are reviewed. In the second part, the paper reviews the more recent approach to EGA and EGM in the framework of non-equilibrium thermodynamics. Furthermore, we point out possible misleading uses and pitfalls of entropy generation analysis.
Section snippets
Applications to systems involving heat transfer and fluid flow Earlier entropy generation studies were based on the use of black box models (sometimes referred to as “Control Volume Method” or “Lumped Parameters Method”), that imply the assumption of homogeneity inside of the control volume and makes it impossible to capture internal distributions of temperature, pressure, density, etc. Black box modelling typically involves the use of correlations for quantities such as average heat transfer rates and fluid friction, which are instead phenomenologically
Entropy generation formulation The entropy balance equation for an open system (Eq. (1)) provides a formulation for total entropy generation rate
that occurs within a generic system. Such a formulation is derived according to the postulate of equilibrium thermodynamics (ET) [49], [85]. In this framework, state variables are taken as independent of space coordinates: the system is assumed to be homogeneous, in the sense that physical quantities like density, temperature, pressure etc. are not allowed to change from
Conclusions and future work Entropy generation analysis and minimization constitute effective approaches for the improvement or optimization of the thermodynamic performance of engineering systems. The history of these approaches spans several decades and has led to the development of design methods, whose evolution was mainly driven by help of computational resources. While a very large number of publications is devoted to the analysis of entropy generation, this review is limited to the contributions that focus on the
References (164)
  • G. Giangaspero et al.Application of the entropy generation minimization method to a solar heat exchanger: a pseudo-optimization design process based on the analysis of the local entropy generation maps Energy (2013)
  • K. Chowdhury et al.A second law analysis of the concentric tube heat exchanger: optimisation of wall conductivity Int J Heat Mass Transfer (1983)
  • D.P. Sekulić et al.One approach to irreversibility minimization in compact crossflow heat exchanger design Int Commun Heat Mass Transfer (1986)
  • J.E. HesselgreavesRationalisation of second law analysis of heat exchangers Int J Heat Mass Transfer (2000)
  • P. NaphonSecond law analysis on the heat transfer of the horizontal concentric tube heat exchanger Int Commun Heat Mass Transfer (2006)
  • N. Sahiti et al.Entropy generation minimization of a double-pipe pin fin heat exchanger Appl Therm Eng (2008)
  • R.T Ogulata et al.Irreversibility analysis of cross flow heat exchangers Energy Convers Manage (2000)
  • R.V. Rao et al.Thermodynamic optimization of cross flow plate-fin heat exchanger using a particle swarm optimization algorithm Int J Therm Sci (2010)
  • C.J.L. HermesThermodynamic design of condensers and evaporators: formulation and applications Int J Refrig (2013)
  • V. Radcenco et al.Two design aspects of defrosting refrigerators Int J Refrig (1995)
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Radiation cooling or heating does not consume any work. We welcome guidance from thermal scientists and engineers.
This is a radiation simulation case using COMSOL, which satisfies empirical laws and energy conservation. See image for details
1. This setting includes radiation experience: when the gas density is small, the radiation intensity is proportional to the density, and the absorption coefficient is inversely proportional to the density (the smaller the absorption coefficient, the stronger the absorption capacity)----- Domain 1 gas density=1, Domain 2 gas density=2.,
2. Radiation generates a temperature difference of 2.1 ℃, rendering the second law of thermodynamics invalid.
3. This transposition can be connected in series to generate stronger heating and cooling capabilities, with low cost, and can be industrialized and commercialized.
4. This article also includes an analysis of the imbalance in calculating radiation. Welcome to read.
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Both radiative cooling and heating take advantage of the natural properties of thermal radiation and do not require additional energy input or work to achieve the desired cooling or heating effect. it's important to note that the effectiveness of these processes can be influenced by factors such as the design of the surfaces or materials, environmental conditions, and other variables
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  • The thermal radiation balance between CO2 with different concentrations can be tested using the experimental setup shown in the figure, or using gases with stronger radiation capabilities (artificially set concentration differences).
  • The radiation intensity of CO2 with a concentration of 1mol is lower than that of 2mol, and the direction of radiation energy transfer is from right to left.
  • Observe the differences between T1 and T2 in the experiment, as well as the differences.,
  • This experiment can verify whether the second law of thermodynamics is effective for radiation, with low cost and significant significance.
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Continuing investigation
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Radiation is joking with the Second Law of Thermodynamics, and scientists have been tricked. Below is a comparative description.
A--Output of the second law of thermodynamics
B--The experimental performance of radiation.
1A, Second Law of Thermodynamics: Heat cannot spontaneously transfer from low to high temperatures.
1B, thermal radiation: Low temperatures can radiate to high temperatures, while high temperatures can radiate to low temperatures.
2A, scientists bet on the heat transferred by radiation: q (T1_to_T2)>q (T2_to_T1), where T1>T2
2B, actual intensity of thermal radiation:
q (T1_to_T2)=q (T1, n1); Q (T2_to_T1)=q (T2, n2)
n1, n2- Number of internal radiation structures of heat sources 1,2. Specific examples: 1 is helium, 2 is CO2, and n1 will be less than n2 In this case,
q(T1_to T2)<q (T2_to T1) where T1>T2
3A,Scientists from the 17th to 18th centuries believed that knowledge like 2A could be forgiven.
3B, scientists in the 21st century still believe in knowledge like 2A, which would be a bit foolish.
4B, see simulation case (image) for details
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Radiation cooling or heating does not consume any work. We welcome guidance from thermal scientists and engineers.
This is a radiation simulation case using COMSOL, which satisfies empirical laws and energy conservation. See image for details
1. This setting includes radiation experience: when the gas density is small, the radiation intensity is proportional to the density, and the absorption coefficient is inversely proportional to the density (the smaller the absorption coefficient, the stronger the absorption capacity)----- Domain 1 gas density=1, Domain 2 gas density=2.,
2. Radiation generates a temperature difference of 2.1 ℃, rendering the second law of thermodynamics invalid.
3. This transposition can be connected in series to generate stronger heating and cooling capabilities, with low cost, and can be industrialized and commercialized.
4。This article also includes an analysis of the imbalance in calculating radiation. Welcome to read.
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Calculating the specific heat of a simple liquid by the number of elastic oscillators.
Calculate the specific heat of a simple liquid using the number of elastic oscillators
Each liquid molecule has an average of 8 elastic oscillators around it, and the specific heat contributed by the elastic energy is 4R。Therefore, near the three phase points, the specific heat at constant pressure of a single atomic liquid is 5.5R, and the specific heat at constant pressure of a diatomic liquid is 6.5R. Low temperature liquids such as Ar, Kr, Xe, O2, N2, F2, etc. conform to this conclusion.
Please read the following link for details
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Thank you for your reply.
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It is easier for scientists engaged in nuclear fusion to switch careers to permanent motion, so it is recommended to switch careers.
  • The three formulas in the figure are the dynamic basis of this perpetual motion machine.
  • The only difficulty is charge binding: the diffusion process of charges from A to B requires a constrained electric or magnetic field. The difficulty of this constraint is relatively small compared to nuclear fusion, and it is easy for them to switch to making perpetual motion machines. Suggest transitioning to nuclear fusion and engaging in perpetual motion machines.
  • Although some progress has been made in nuclear fusion, there are still many technical challenges and high costs.
  • There are various ways to implement perpetual motion machines, not limited to this model.
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Dear Bo Miao ,
Interesting the idea you have realized. I am not familiar in this area, so for a better understanding.
the following questions would be asked:
You have the following interesting remark:
'The only difficulty is charge binding: the diffusion process of charges from A to B requires a constrained electric or magnetic field. The difficulty of this constraint is relatively small compared to nuclear fusion, and it is easy for them to switch to making perpetual motion machines. Suggest transitioning to nuclear fusion and engaging in perpetual motion machines.' - In the system, you can achieve this by using the metal bucket.
after the electrical current is switched off, what maintains the permanent magnetic or electric field ? Where will the system get the energy to do this?
By R, you maintain the electrical potential.
Regards,
Laszlo
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  1. The correctness of scientific laws depends on quantitative prediction and experimental compliance, rather than relying on life experience and engineering experience.
  2. The two major expressions of the second law of thermodynamics are life experience and engineering experience. The core quantitative prediction is η= 1-T1/T2. The verification method is Method A in the figure (with quantitative prediction), but scientists extensively use Method B (without law prediction), indicating that seeking equilibrium in theory and experiment is actually cheating: concealing the inconsistency between the second law of thermodynamics and experiment. This violates scientific discipline and morality.
  3. Scientists possess a large amount of data, and if they used Method A (which is in line with scientific discipline and ethics), the Second Law of Thermodynamics would have been shattered long ago.
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Why do you children in computer science think that your logic symbols and diagrams have any meaning or relevance to this or any other world whatsoever? There is zero meaning or relevance to the diagram, deliberately shrouded with undefined symbols so as to impress and confuse.
I will state it clearly, 'Computer Science' is not a valid science. Science is defined as the study of nature. The invalid term, "computer science" is merely a mechanism of human language and thinking, and has nothing to do with nature, nor does any 'computer science' student have the ability to read the maths required to understand science. I have never encountered a 'computer scientist' who had the slightest clue what Physics is.
It is so far from meaningful that it is embarrassing to watch.
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Comparison:
1)The first law of thermodynamics calculates the Carnot efficiency;
2)the second law of thermodynamics predicts: η= 1-T1/T2.
Method:
1)The first law: P=P (V, T), E=E (V, T) DE=Q-W==>η,Efficiency needs to be calculated and determined.
2)Second Law: Anti perpetual motion machine, guessing==>1-T1/T2.
Effect:
1)The first law: E, P, W, Q ,η of the cyclic process can be obtained,
2)Second Law: Only efficiency can be obtained:η= 1-T1/T2.
  • The uniqueness of natural science requires scientists to make choices.
  • The second law of thermodynamics can only yield a single conclusion: η= 1-T1/T2(Meaningless--- lacking support from E, P, W, Q results.)Like an island in the ocean.
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Bo Miao: "The first law of thermodynamics calculates the Carnot efficiency" -- no, not at all. The first law only states that heat and work (i) are forms of energy, and (ii) they are the ways energy is transferred from one system to another. How could there be any efficiency included in this law? Please explain.
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  • In the figure, one gas is an ideal gas (dE1/dV1=0) and the other is a real gas (dE2/dV2 is not equal to 0), which can achieve heat transfer from low temperature to high temperature without consuming external energy. This is the second type of perpetual motion machine.
  • Real gas (dE/dV not equal to 0). This is the simplest middle school physics knowledge.Middle school physics knowledge can defeat the second law of thermodynamics. Isn't this very funny?
  • This field will produce Nobel Prizes, welcome to join.
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Simply insert the van der Waals real gas equation of state (or Redlich-Kwong or Virial ansatz, if you prefer those) into the dW equation. You will also get a dW that's not 0. This is a trivial operation.
Arbitrarily setting dW=0 for an isothermal (or adiabatic) process here is actually a violation of the first law of thermodynamics and I got the notion that you believe at least in this one, or has that changed?
So what you have demonstrated here is actually: if we violate the first law of thermodynamics, the second one is also useless. But since the first law is valid, your "proof" is invalid.
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Quantum computers have not led to an increase in information entropy. The information theory of the second law of thermodynamics is deceptive.
Quantum computers have not led to an increase in information entropy. The information theory of the second law of thermodynamics is deceptive.
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How do you know?
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  • A perpetual motion machine is a concept of engineering and outcome. It plays a small role in the first law of thermodynamics, but in the second law of thermodynamics, perpetual motion machines have become the starting point of theory, greatly improving their status. When comparing the two, it can be found that the logic of the second law of thermodynamics is filled with experiential themes, lacking rational logic, and is a loss of the rational spirit of scientists.
  • In practice, scientists extensively use method B in the figure to try to find a balance between theory and experiment. This kind of thing was originally invisible, but scientists treated it as a treasure. It's quite ironic.
  • Originally a trial of the second law of thermodynamics, it has become a trial of scientists. I believe there will be a response from scientists.
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Originally a trial of the second law of thermodynamics, it has become a trial of scientists. I believe there will be a response from scientists.
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  • η=η (T) =1-T1/T2 (excluding volume). E (V, T), P (V, T) contains volume, using η (T) Calculating E (V, T), P (V, T) does not match the experiment. This is in line with mathematical logic. The specific scientific calculations have changed their flavor. Please refer to the following figure for details
  • η=η (T) =1-T1/T2 is about the ideal gas formula.
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Now scientists have enough thermal property data to test the correctness of the second law of thermodynamics, as long as they are willing.
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Discontinuity (artificially) of The Thermophysical Properties of NIST affects the second law of thermodynamics:
1) Scientists create Type 2 perpetual motion machines;
2) Scientists have discovered new laws of phase transition.
3) Scientists don't need to create a bunch of fake things for the second law of thermodynamics.
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The discontinuity (artificially induced) in the thermophysical properties of substances, such as temperature or pressure, can indeed affect the application of the second law of thermodynamics. The second law states that heat naturally flows from a higher-temperature region to a lower-temperature region, and this principle relies on the continuous and smooth behavior of thermophysical properties.
When discontinuities are introduced, it can lead to non-ideal behavior and deviations from the expected thermodynamic processes. For example, abrupt changes in temperature or pressure could result in unexpected phase transitions or heat transfer behaviors that don't follow the usual laws of thermodynamics.
Therefore, it's essential to maintain the continuity of thermophysical properties to accurately apply the second law of thermodynamics in various engineering and scientific applications. Researchers and engineers often work to minimize or correct such artificial discontinuities to ensure the reliability of thermodynamic calculations and processes
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Heat is transferred from low Temp. to high Temp. without consuming external energy. Compared to nuclear fusion, it is simple and easier to gain energy.
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The statement you've made about heat transfer from low temperature to high temperature without consuming external energy is incorrect. The Second Law of Thermodynamics states that heat naturally flows from higher temperature to lower temperature regions, and to transfer heat from low to high temperature, external energy input is required, which is typically done using devices like heat pumps or refrigeration systems.
Regarding nuclear fusion, it involves the process of combining light atomic nuclei to release a significant amount of energy. While it has the potential to provide a vast and sustainable energy source, it is currently a complex technology to harness and maintain, primarily due to the extreme conditions required to achieve controlled fusion reactions. Achieving practical nuclear fusion as an energy source remains a significant scientific and engineering challenge, but research is ongoing in this field.
In summary, transferring heat from low to high temperature without external energy input is not possible according to the laws of thermodynamics, and nuclear fusion, while promising, is still a complex technology to harness for energy production.
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Combining the pictures to see the logical flaws and deviations from the experiment of the second law of thermodynamics.
1,Please take a look at the picture: Compared to the first law of thermodynamics, the second law of thermodynamics is a pseudoscience: Perpetual motion machine is a result and engineering concept, which cannot be used as the starting point of theory (the second law)
2,In the second picture, the second law of thermodynamics was misused by scientists, indicating that this theory does not match the experiment.
3,The above two explanations indicate that the second type of perpetual motion machine exists. If you're not satisfied, you can read my other discussions or articles.
4,With the second type of perpetual motion machine, the energy and environmental crisis has been lifted. By using the electricity generated by perpetual motion machines to desalinate seawater, the Sahara desert will become fertile land, and there will be no food crisis. War and Poverty Will Move Away from Humanity
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You should ask scientists why they are not generous enough to use method a and instead use fraudulent method b
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These operations are catching up with the Korean superconductivity incident. The problem is very serious, and scientists are completely unaware.
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Discontinuity (artificially) of The Thermophysical Properties of NIST affects the second law of thermodynamics:
1) Scientists create Type 2 perpetual motion machines;
2) Scientists have discovered new laws of phase transition.
3) Scientists don't need to create a bunch of fake things for the second law of thermodynamics.
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The second law of thermodynamics, no matter how powerful, must follow the laws of logic.
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Discontinuity (artificially) of The Thermophysical Properties of NIST affects the second law of thermodynamics:
1) Scientists create Type 2 perpetual motion machines;
2) Scientists have discovered new laws of phase transition.
3) Scientists don't need to create a bunch of fake things for the second law of thermodynamics.
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This discussion addresses an important issue related to gases, which are known to be one of the fourth states of matter (gases, liquids, solids, and plasmas).
We learn from high school the ideal gas of equation of state, where particles are considered point particles, non-interacting, and massless (sometimes).
Even though using that simple model, many nontrivial questions that help to understand more complicated models can be answered for all Statistics, from the classical Gibbs and Maxwell Boltzmann distributions that obey Gaussian curves, where even degeneracy can be taken to be part of the exercise; to the more complicated Fermi-Dirac and Bose-Einstein statistics; where quantum effects are unavoidable, even if the gas is considered a free gas of electrons, or bosons non-interacting quasiparticles.
But what happens when the expansion terms are higher than for a simple gas and interactions are taken into account?
"What classical and/or effects survive from the ideal gas model and what has to be modified?" arises.
The question can be addressed for statistical equilibrium thermodynamics but also can be part of non-equilibrium statistical thermodynamics.
This science popularization thread will discuss some issues, as well as, some historical points in the development of this interesting subject, which belongs to exact and applied sciences as is the real gases issue.
Some new and old references cover some applied and theoretical aspects that will be addressed here. They are:
  • "Statistical Thermodynamics: An Engineering Approach" by John W. Daily. Cambridge University Press, 2019.
  • "Thermodynamics Statistical Physics and Kinetics" by Yuri Rumer, and M.S. Ryvkin. Central Books LTD, 1981.
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Dear Prof. Ali Ghandili
Thank you so much for your great answer. First, I should apologize for the late reply.
Yes, the "real gases subject", & in general the subject of "dense gases, liquids and solids" is a wonderful subject, that with the development of fast speed computers, and new algorithms plus visualization tools is being explored intensively using different approaches, and where ab initio methods play a significant role.
Kind Regards.
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These two papers opposing the second law of thermodynamics received "recommendations" from 10 scholars. Welcome to read.
If you think it's good, give me a "recommendation" as well.
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If you have two real gases, the claim dW=0 is incorrect, especially in the differential form, and therefore you will get additional terms in all subsequent equations.
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The original manuscript of this article is to answer some questions asked by Zhihu users, here added the second half of the content into the original manuscript, one for sharing, and the other to keep some views written casually, so as not to be lost, it may be useful in the future.
To talk about this problem under the topic of physics is because thermodynamics describes collective behavior and involves all levels. As far as the current situation of thermodynamics is concerned, classical thermodynamics + chemical thermodynamics seems more systematic, but it is not complete.
In comparison, thermodynamics is not as exquisite and rigorous as other theoretical systems of physics, the physical images of many concepts such as entropy, enthalpy and other thermodynamic potentials now are still unclear, and the mathematical transformations, from the perspective of physical meaning, cannot plainly shown what physical contents are transformed, the physical images of many derivatives, differentials, and equations are unclear, for instance, those derivatives, differentials cannot even distinguish between energy transfer and energy conversion.
The way classical thermodynamics is thought is also different from other systems of physics, the "subdivision" of the internal energy is not in place. We all know that the internal energy is the sum of different forms of energy within a given system, since there have different forms, then it should be classified, no, that's a pile. The description method is to see how much comes out through the heat transfer path, how much can come out through the work path, and calculate a total changes, the unique definitions are the parts that can be released in the form of work, called the thermodynamic potentials, when the path changed, one don't know whether they still are.
There is no even a basic classification of the internal energy, how to discuss the conversion between different forms of energy?
For example, a spontaneous chemical reaction, G decreases, S increases, but from the perspective of energy conversion, the answer by a professor of chemistry may not be as good as a liberal arts student who have studied a little in high school and forget most of it, the latter will most likely say that it is chemical energy converted into heat energy, although the terms are not professional, but the meaning of energy conversion is clear. The professors of chemistry know that G decreased, but they don't know what this decreased G turns into, there is no a complete narrative about energy conversion.
In the entire thermodynamic theoretical system, you can hardly find such a sensation, such as delicate, rigorous, physical image clarity, similar to that in the other theoretical systems of physics, and the appeasement philosophy is all over the place.
Statistical physics cannot independently establish equations for the relationships between thermodynamic state functions, relies on thermodynamics in the theoretical system, which also inherited the problems from thermodynamic theory. Statistical physics itself also brings more problems, for instance, statistical physics cannot explain such a process, an ideal gas does work to compress a spring, the internal energy of the ideal gas is converted into the elastic potential energy of the spring. If such simple, realistic problem cannot be explained, what are the use your statistical ensemble, phase spaces, the Poincaré recurrence theorem, mathematical transformations?
The thermodynamic direction maybe currently the last big chance in theoretical physics that can be verified or falsified, because it doesn't face the difficulties in other directions: you can write some dizzying mathematical equations, but maybe a century from now you don't know whether it's right or wrong.
Thermodynamics is the most grand theoretical system in the entire scientific system, a scientific system on natural evolution, although it is not yet complete, and has not yet risen to the level of fundamental theory, which provides a grand narrative of natural evolution, running through all levels.
Newton laws, Maxwell equations, Schrödinger equation, Hamiltonian dynamics, etc., for thermodynamics, that is only one law: the first law of thermodynamics, the law reveals the conservation of energy and conversion relationships of collective behavior at all levels and in all processes, the direction of change that the second law of thermodynamics described now has not been found in the dynamics of physics, will there be? there are some clues but not certain, because there is no corresponding theoretical framework.
The popular view of physicists on the conflict between time inversion symmetry of the fundamental process of dynamics and the second law is all wrong, the errors are: 1, confused the relationship between the fundamental laws, the theme that those dynamical equations discussed is the relation of conservation of energy, which correspond to the first law of thermodynamics, and the time inversion for the first law of thermodynamics is also symmetrical. 2, The symmetry of an equation and the symmetry of a phenomenon are two different concepts, the time inversion symmetry of the energy conservation equation only shows that energy conserve in past, present, and future, it does not explain whether the phenomenon itself is symmetrical in time inversion, the problem that the fundamental dynamic processes themselves are reversible or irreversible cannot be discussed by the equation of conservation of energy.
Have you noticed? in department of chemistry, one have to face the problem of time inversion asymmetry every day, and they also have dynamics, the chemical dynamics of time inversion asymmetry.
On the problem of irreversibility, those seemingly delicate, rigorous, time-inverse symmetrical physical systems are completely powerless, statistical physics is somewhat useful, such as explaining the diffusion phenomenon, calculating the number of collisions, its effective range has been limited by its theoretical postulates, the postulate of an equal probability determines that it is only valid for describing the processes tending to an equal probability distributions. In the framework of statistical physics, there is only one driving force of "change", tending to an equal probability distributions, the question is, the driving forces of "changes" in the real world around us are not only this one.
The second law of thermodynamics indicates that there are two different "dynamics": the physics of time inversion symmetry shows people a world without evolution, and the chemical dynamics of time inversion asymmetry shows us the different situations, whether the latter has universal sense at other levels is still unknown. From astrophysics to macroscopic, at least to the elementary particles level, all observed and confirmed results without exception strongly support the existence for the dynamics which are time inversion asymmetry, will it point to a final ending?
Let's take a look at the different thermodynamics?
The articles linked below show a new theoretical framework for thermodynamics that is different from what you can see in textbooks and other articles, and it also provides a new starting point for the study of a series of major problems.
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Dear Tang Suye.
Perhaps you will find some answers to very important your questions in my report delivered in Novosibirsk last year.
It discusses the thermal expansion of the elements of the periodic table in the solid state.
The peculiarity of this report lies in the unusual concept that heat transfer in crystals is carried out by the action quanta (Planck's constant h), and not by the energy quanta. This is a very important point, since this quantum is a universal discrete element of any physical space. (This point is discussed in my other work .)
Another peculiarity that you can find in my report is that the thermal state of a crystal cannot be maintained and can not be described using phonons only, which are bosons. We need fermions. They are the excitations of electrons inside atoms. Here is the missing subsystem inside the crystal, which participates in the exchange of energy (quanta of action) with moving atoms in the crystal and thus maintains thermodynamic equilibrium as a whole. Obviously, the energy inside the atoms is a part of the internal energy of the entire crystal, as there are possible magnetic and spin excitations in it, which also exchange the energy and participate in maintaining equilibrium.
And in order not to get up (not to write) twice, I will say that the entropy S, in my view, is the logarithm of the sum of all possible distributions of M action quanta in the system over N of its elements.
Yours sincerely, Mikhail Dulin.
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Type 2 perpetual motion machines help humans achieve stellar civilization and eliminate it
Humans can only approach planetary level civilizations now. The following image shows the existence of type 2 perpetual motion machines, making travel and life within the solar system easier and safer.
The design of this perpetual motion machine has been recommended by two PhDs. If you support it, please provide a 'recommendation'.
What is the significance of the perpetual motion machine, the Russo Ukrainian War, and possibly the Third World War? Scientists should take on their own mission, and the key is that perpetual motion machines are indeed analyzable.
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Dear Bo Miao.
You can write anything. Paper will endure everything.
The first law of thermodynamics dU = TdS - pdV is sufficient to understand temperature T as the rate of transfer (flow) of energy, and pressure p as the rate of transfer of momentum from one body in contact to another.
Therefore, you will never, under any circumstances, get a positive value if you subtract a large value from a small value.
Sincerely, Dulin Mikhail.
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Dear all,
I have a technical question regarding the self-diffusion coefficient of water in an equilibrium state using Einstein relation in molecular dynamics simulation. If we consider an equilibrated medium of water/polymer, water molecules have Brownian motion as a result of thermal fluctuations. So their self-diffusion movements, related to the Einstein relation between diffusion coefficient and mobility are fully accounted for. But in addition to thermal fluctuations, an equilibrium fluid system has pressure fluctuations. At any instant, the pressure on one side of a volume element is not the same as the pressure on the opposite surface of the volume element, and the volume element will move as a whole in the direction of lower pressure. These pressure fluctuations are not included in the simulations. In macroscopic (but linear, i.e., small forces and flows) flow conditions, they would give rise to a flow described by the linearized Navier-Stokes equation. Isn't this correct? how does Einstein relation consider it? is it logical to use Einstein relation in this situation? Can you discuss it briefly?
Thanks a lot
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Try the following article *, you have two different substances and a surface that plays a role, but not 2 isotopes of the same substance where the question of self-diffusion and pressure gradients are relevant:
* Isotope effect for self-diffusion in liquid lithium and tin Belashchenko D., Polyanskii R. & Pavlov R. Russian Journal of Physical Chemistry A. 2002. Т. 76. № 3. С. 454-461
We ought to remember that:
  • 1st Fick´s law applies to diffusion
  • 2nd Fick´s law applies to convection
I do not see how convection 2nd Ficks´ law can be used for your particular system
Best Regards.
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Dear All,
Coagulating (aggregating, coalescing) systems surround us. Gravitational accretion of matter, blood coagualtion, traffic jams, food processing, cloud formation - these are all examples of coagulation and we use the effects of these processes every day.
From a statistical physics point of view, to have full information on aggregating system, we shall have information on its cluster size distribution (number of clusters of given size) for any moment in time. However, surprisingly, having such information for most of the (real) aggregating systems is very hard.
An example of the aggregating system for which observing (counting) cluster size distribution is feasible is the so-called electrorheological fluid (see https://www.youtube.com/watch?v=ybyeMw1b0L4 ). Here, we can simply observe clusters under the microscope and count the statistics for subsequent points in time.
However, simple observing and counting fails for other real systems, for instance:
  • Milk curdling into cream - system is dense and not transparent, maybe infra-red observation could be effective?
  • Blood coagulation - the same problem, moreover, difficulties with accessing living tissue, maybe X-ray could be used but I suppose that resolution could be low; also observation shall be (at least semi-) continuous;
  • Water vapor condensation and formation of clouds - this looks like an easy laboratory problem but I suppose is not really the case. Spectroscopic methods allow to observe particles (and so estimate their number) of given size but I do not know the spectroscopic system that could observe particles of different (namely, very different: 1, 10, 10^2, ..., 10^5, ...) sizes at the same time (?);
  • There are other difficulties for giant systems like cars aggregating into jams on a motorway (maybe data from google maps or other navigation system but not all of the drivers use it) or matter aggregating to form discs or planets (can we observe such matter with so high resolution to really observe clustering?).
I am curious what do you think of the above issues.
Do you know any other systems where cluster size distributions are easily observed?
Best regards,
Michal
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Dear Johan!
I want to recommend you papers of my husband)) He study aggregation of blood particals by scanning flow cytometry and also produced (I think, new and fruitfull) kinetic model for this processes. It is his profile https://www.researchgate.net/profile/Vyacheslav-Nekrasov
As I understand, key papers is
1 Brownian aggregation rate of colloid particles with several active sites
2 Kinetic turbidimetry of patchy colloids aggregation: latex particles immunoagglutination
3 Mathematical modeling the kinetics of cell distribution in the process of ligand–receptor binding
4 Kinetics of the initial stage of immunoagglutionation studied with the scanning flow cytometer
But you can write him directly))
Best wishes, Anna
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Once I obtain the Ricatti equations to solve the moments equation I can't find the value of the constants. How can I obtain the value of these constants? Have these values already been reported for the titanium dioxide?
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You may possibly mean the method of moments (deriving moments of mass) to solve a set of Smoluchowski coagulation equations as described in, e.g., "A Kinetic View of Statistical Physics" (Chapter 5) by Krapivsky et al.?
Definitely, you shall provide more details and/or the mentioned equations themselves. A lot of different expressions are called as Smoluchowski equations.
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Imagine there is a surface, with points randomly spread all over it. We know the surface area S, and the number of points N, therefore we also know the point density "p".
If I blindly draw a square/rectangle (area A) over such surface, what is the probability it'll encompass at least one of those points?
P.s.: I need to solve this "puzzle" as part of a random-walk problem, where a "searcher" looks for targets in a 2D space. I'll use it to calculate the probability the searcher has of finding a target at each one of his steps.
Thank you!
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@Jochen Wilhelm, the solutions are not equivalent because
For Poisson: P(at least one point) = 1 - P(K=0) = 1 - e^(-N/S*A)
For Binomial: P(at least one point) = 1 - ( (S - A)/S )^N
The general formula for the Binomial case is the following:
P(the rectangle encompasses k points)=(N choose k) ( A/S )^k ( (S - A)/S )^(N - k)
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Hello Dear colleagues:
it seems to me this could be an interesting thread for discussion:
I would like to center the discussion around the concept of Entropy. But I would like to address it on the explanation-description-ejemplification part of the concept.
i.e. What do you think is a good, helpul explanation for the concept of Entropy (in a technical level of course) ?
A manner (or manners) of explain it trying to settle down the concept as clear as possible. Maybe first, in a more general scenario, and next (if is required so) in a more specific one ....
Kind regards !
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Dear F. Hernandes
The Entropy (Greek - ἐντροπία-transformation, conversion, reformation, change) establishes the direct link between MICRO-scopic state (in other words orbital) of some (any) system and its MACRO-scopic state parameters (temperature, pressure, etc).
This is the Concept (from capital letter).
Its main feature – this is the ONLY entity in natural sciences that shows the development trend of any self-sustained natural process. It is the state function; it isn’t the transition function. That is why the entropy is independent from the transition route, it depends only from the initial state A and final state B for any system under consideration. Entropy has many senses.
In the mathematical statistics, the entropy is the measure of uncertainty of the probability distribution.
In the statistical physics, it presents the probability (so-caled *statistical sum*) of the existence of some (given) microscopic state (*statistical weight*) under the same macroscopic characteristics. This means that the system may have different amount of information, the macroscopic parameters being the same.
In the information approach, it deals with the information capacity of the system. That is why, the Father of Information theory Claude Elwood Shannon believed that the words *entropy* and *information* are synonyms. He defined entropy as the ratio of the lost information to the whole of information volume.
In the quantum physics, this is the number of orbitals for the same (macro)-state parameters.
In the management theory, the entropy is the measure of uncertainty of the system behavior.
In the theory of the dynamic systems, it is the measure of the chaotic deviation of the transition routes.
In the thermodynamics, the entropy presents the measure of the irreversible energy loss. In other words, it presents system’s efficiency (capacity for work). This provides the additivity properties for two independent systems.
Gnoseologically, the entropy is the inter-disciplinary measure of the energy (information) devaluation (not the price, but rather the very devaluation).
This way, the entropy is many-sided Concept. This provides unusual features of entropy.
What is the entropy dimension? The right answer depends on the approach. It is dimensionless figure in the information approach (Shannon defined it as the ratio of two uniform values; therefore it is dimensionless by definition). On the contrary, in the thermodynamics approach it has a dimension (energy to temperature J/K)
Is entropy parameter (fixed number) or this is a function? Once again, the proper answer depends on the approach (point of view). It is a number in the mathematical statistics (logarithm of the number of the admissible (unprohibited) system states, well-known sigma σ). At the same time, this is the function in the quantum statistics. Etc., etc.
So, be very cautious when you are operating with entropy.
Best wishes,
Emeritus Professor V. Dimitrov vasili@tauex.tau.ac.il
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I'm writing my dissertation about economic dynamics of inequality and i'm going to use econophysics as a emprical method.
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Dear Mehmet,
Some formal similarities between equilibrium statistical mechanics and economics may exist, but we should be very suspicious of any direct comparisons. Of course, in some instances the mathematical solutions used in statistical mechanics may be of some use in economics from a practical viewpoint, I would not read too much into this. My sense is that the relationship between both is that there is incomplete information about the microscopic state of the system. See e.g., this paper by my advisor:
There is a fair bit of literature on using entropy to model systems in physics and economics.
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Tragically, in 1906, Boltzmann committed suicide and many believe that the statistical mechanics was the cause. He provided the current definition of entropy, interpreted as a measure of statistical disorder of a system His student, Paul Ehrenfest, carrying on Boltzmann's work, died similarly in 1933. William James, in 1909, found dead in his room probably due to suicide. Bridgman, the statistical physics pioneer, committed suicide in 1961. Gilbert Lewis, took cyanide in 1987after not getting a Nobel prize.
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I agree with you, Dr. Jiří Kroc, thank you for the explanation. I taught the subject of Stat. Mechan. for several years at both levels, undergraduate and graduate. I still remember how hard it was to introduce it.
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The occupation number of bosons can be any number from zero to infinity, guiding us to the Bose-Einstein statistics. On the other hand, for example, a classical wave can be considered a superposition of any number of sine or cosine waves. Isn't it similar to say the occupation number of a classical wave can be any number from zero to infinity and utilizing Bose-Einstein statistics for classical waves in particular and classical fields in general?
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Dear Rasoul Kheiri, your question is interesting and two-fold, I explain:
As you state, the occupation number of bosons (and the ground boson state) can allow infinite numbers of particles (infinite modes for classical waves), but the integer-spin of bosons is an entire number. This is why I mean by two-fold.
I elaborate, for solid-state physics, phonons have a zero spin, but for electromagnetic waves seen as photons, the spin is equal to one. Phonons are longitudinal in nature, photons are transversal in nature.
In EMW, we have the coherent states for photons, which are quantum in nature but that shows some features as the Poisson distribution and not the Bose-Einstein distribution which reflects the entire spin. Those fields are all within the harmonic oscillator - HO approximation.
In addition, the second quantization in terms of creation and annihilation operators with commuting algebraic properties is needed.
Furthermore, to show the spin nature (structure) of the photon, further, the QED should be used, their relativistic origin, or at least the Klein Gordon equation instead of the Schroedinger equation.
Let see what other specialists have to say about this.
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In information theory, the entropy of a variable is the amount of information contained in the variable. One way to understand the concept of the amount of information is to tie it to how difficult or easy it is to guess the value. The easier it is to guess the value of the variable, the less “surprise” in the variable and so the less information the variable has.
Rényi entropy of order q is defined for q ≥ 1 by the equation,
S = (1/1-q) log (Σ p^q)
As order q increases, the entropy weakens.
Why we are concerned about higher orders? What is the physical significance of order when calculating the entropy?
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You may look at other entropies, search articles from Prof. Michèle Basseville on entropy (of probability measures)
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Please don't answer because U(T,V) don't have S entropy as argument!!!!!!
May I ask a question on thermodynamic? We know that U(V,T) (caloric eq. of state) and S(P,V) (thermodynamic eq of state) can both be derived from thermodynamic potentials (U F G H) and the fundamental relations. However, U(V,T) doesn't hold full thermodynamic info of the system as U(S,V) does, yet S(P,V) also holds full thermodynamic info of the system.
         In which step in derivation to get U(T,V) from U(S,V) lost the thermodynamic info? (the derivation is briefly:1.  derive U=TdS+ PdV on V, 2. replace the derivative using Maxwell eq. and 3. finally substitute ideal gas eq or van der waal eq) 
         Why the similar derivation to get S(P,V) retain full thermodynamic info?
         Even if we only have U(T,V), can't we get P using ideal gas eq, then calculate the S by designing  reversible processes from (P0,V0,T0) to (P',V',T')? If we can still get S, why U(T,V) doesn't have full thermodynamic info?
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Natural variables for U: S, V, Ni (for simple systems)
Natural variables for S: U, V, Ni (for simple systems)
T is the partial derivative of U with respect to S, maintaining V and Ni constants:
T=(∂U/∂S)V,Ni
If from the fundamental relationship U=U(S,V,N) you replace S by T just by solving for S in T=T(U,S,V,Ni) and substituting in U=U(S,V,N), then, you loose information because you are replacing a variable with a derivative with respect to that variable.
This problem is worked out with the Lengendre transform. If you search on internet, you may find simple examples: how to change y=f(x) to z=g(p), where p is ∂y/∂x=2x, in the two ways, the incorrect one (calculation of p and plain substitution of p by removing x) and the correct one (calculation of p and applying the Legendre transform, z=g(p)=px-f). In fact, because you do not loose information with the Legendre transform, you may go backwards from z to y, which is not possible with the incorrect way.
Therefore, it is a mathematical "trick".
Applying the Legendre transform to U, with respect to T and S, you get a new thermodynamic potential F=U-TS, the Helmholtz energy, whose natural variables are T, V, and Ni. Beware of the minus sign applied to the Legendre transform (i.e., F is not equal to TS-U, but U-TS).
For a system at constant U, V, and Ni, any possible process will maximize S.
For a system at constant S, V, and Ni, any possible process will minimize U, but not F.
For a system at constant T, V, and Ni, any possible process will minimize F, but not U.
The Legendre transform connecting two thermodynamic potentials parallels the Laplace transform connecting the corresponding partition functions.
The Legendre transform is not only employed in Thermodynamics and Statistical Physics, but also in Classical Mechanics and other fields.
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Maxwell Boltzman distribution is ni/gi =e-(εi−µ)/kT. In quantum mechanical case, +/-1 is added at the end of kT. (+) sign is for Fermi-Dirac distribution and (-) is for Bose-Einstein distribution. I want to know what is the physical significance of these signs and how can we relate this to classical (Boltzman) distribution. 
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The partition function derived for Boson & Fermion differs in the range of particle including even /odd number distribution - The entropy of B.E / F.D statistics differs - REF : https://demonstrations.wolfram.com/BoseEinsteinFermiDiracAndMaxwellBoltzmannStatistics/
We can calculate delS = f In ( T.P ) . Fermi-dirac Probability is something higher than B.E Stat so expected entropy of F.D is something higher the B.E stat .
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Dear all:
I hope this question seems interesting to many. I believe I'm not the only one who is confused with many aspects of the so called physical property 'Entropy'.
This time I want to speak about Thermodynamic Entropy, hopefully a few of us can get more understanding trying to think a little more deeply in questions like these.
The Thermodynamic Entropy is defined as: Delta(S) >= Delta(Q)/(T2-T1) . This property is only properly defined for (macroscopic)systems which are in Thermodynamic Equilibrium (i.e. Thermal eq. + Chemical Eq. + Mechanical Eq.).
So my question is:
In terms of numerical values of S (or perhaps better said, values of Delta(S). Since we know that only changes in Entropy can be computable, but not an absolute Entropy of a system, with the exception of one being at the Absolute Zero (0K) point of temperature):
Is easy, and straightforward to compute the changes in Entropy of, lets say; a chair, or a table, our your car, etc. since all these objects can be considered macroscopic systems which are in Thermodynamic Equilibrium. So, just use the Classical definition of Entropy (the formula above) and the Second Law of Thermodynamics, and that's it.
But, what about Macroscopic objects (or systems), which are not in Thermal Equilibrium ? Maybe, we often are tempted to think about the Entropy of these Macroscopic systems (which from a macroscopic point of view they seem to be in Thermodynamic Equilibrium, but in reality, they have still ongoing physical processes which make them not to be in complete thermal equilibrium) as the definition of the classical thermodynamic Entropy.
what I want to say is: What would be the limits of the classical Thermodynamic definition of Entropy, to be used in calculations for systems that seem to be in Thermodynamic Equilibrium but they aren't really? perhaps this question can also be extended to the so called regime of Near Equilibrium Thermodynamics.
Kind Regards all !
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Dear Franklin Uriel Parás Hernández Some comments about your interesting thread:
1. At very low temperatures, entropy behaves according to Nernst's theorem
I copy the wiki-web inf. but you also find the same information in Academicians: L. Landau and E. Lifshitz Vol. 5 Vol:
The third law of thermodynamics or Nerst theorem, states that the entropy of a system at zero absolute temperature is a well-defined constant. Other systems have more than one state with the same, lowest energy, and have a non-vanishing "zero-point entropy".
2. Lets try to put Delta Q = m C Delta T, into the expression: Delta(S) >= Delta(Q)/(T2-T1) . What we do obtain? something missing then?
you see, physical chemistry and statistical physics look at entropy in a different subtle way.
3. Delta S = Kb Ln W2/W1 where W is the total number of micro-states of the system, then what is W1 and W2 concerning Delta S?
4. Finally, look at the following paper by Prof. Leo Kadanoff concerning the meaning of entropy in physical kinetics (out of equilibrium systems): https://jfi.uchicago.edu/~leop/SciencePapers/Entropy_is3.pdf
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I had my BSc in Physics, MSc and PhD in Energy System Engineering. I worked as a assistant lecturer and a lecturer for three years teaching different maths courses, statistics and Physics. I had to move from where I was lecturing before because of my family and now I am in search of a Lecturing or Post-Doc opportunity. Most of the job adverts I see are more specific on a particular field. I am beginning to wonder if my diversification is a disadvantage.
Also, if there is a post-doc or lecturing opportunity at your university, I won't mind applying.
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Dear Prof. Olusola Bamisile You made an important point not always seen in academy.
In my case I have a PhD in theoretical solid state physics, but I worked for the oil industry, in cross-listed subjects.
Nowdays with the use of Artificial intelligence and Deep Learning, cross-knowledge fields will be more relevant to I&D. Regards.
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Considering that mean field theory approaches have been used for neuronal dynamics, and that renormalization group theory has been used in other networks to describe their properties, I wanted to know whether it is useful or interesting to describe the behavior of a neuronal system based on its critical exponents. Thank you in advance.
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Critical exponents describe properties that don't depend on whether the network describes brain function or some other system.
If the network does show scale free behavior, then critical exponents can be defined and they characterize the behavior of certain quantities.
That's why it's wrong to ask whether it's useful or interesting to describe the behavior of a neuronal system based on its critical properties-but whether it does have such properties at all.
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Let's just say we're looking at the classical continuous canonical ensemble of a harmonic oscillator, where:
H = p^2 / 2m + 1/2 * m * omega^2 * x^2
and the partition function (omitting the integrals over phase space here) is defined as
Z = Exp[-H / (kb * T)]
and the average energy can be calculated as proportional to the derivative of ln[Z].
Equipartion theorem says that each independent coordinate must contribute R/2 to the systems energy, so in a 3D system, we should get 3R. My question is does equipartion break down if the frequency is temperature dependent?
Let's say omega = omega[T], then when you take the derivative of Z to calculate the average energy. If omega'[T] is not zero, then it will either add or detract from the average kinetic energy and therefore will disagree with equipartition. Is this correct?
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Drew> Z = Exp[-H / (kb * T)], and the average energy can be calculated as proportional to the derivative of ln[Z].
The exact formula, easy to prove, is ⟨H⟩ = -∂ln(Z)∂β, where β = 1/(kBT). However, as you probably already have noted, that is mathematically correct only when H is independent of β (i.e. temperature T).
One may easily imagine situations where the parameters of the Hamiltonian actually depend on temperature, because one is dealing with a phenomenological "effective" description^*, not taking into account the physics which leads to this temperature dependence. However, if such a dependence is large enough to make any difference, the standard thermodynamic interpretation^** of ln Z breaks down, and thereby all sacred relations of thermodynamics. Which is the absolutely last thing we should consider violating in physics.
If you want to escape the usual equipartition principle, this is easily violated by non-quadratic terms in a classical Hamiltonian, or introduction of quantum mechanics (without which even Hell would freeze over, due to its infinite heat capacity).
^*) Which in practise is always the case, since we don't even know what is going on at extremely small scales, and (mostly) don't have to worry about sub-atomic scales.
^**) ln Z = -β F = -β(U-TS), where F is the Helmholtz free energy.
PS. The very first answer to this question should be viewed as an attempt to repeat the notorious Sokal hoax, https://en.wikipedia.org/wiki/Sokal_affair (often perpetrated on RG).
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These 'entropies' depend upon a parameter, which can be varied between two limits. In those limits they reduce to the Shannon-Gibbs and Hartley-Boltzmann entropies. If such entropies did exist they could be derived from the maximum-entropy formalism where the Lagrange multiplier would be identified as the parameter. Then, like all the other Lagrange multipliers, the parameter would have to be given a thermodynamic interpretation as an intensive variable which would be uniform and common to all systems, like the temperature and chemical potential. The Renyi and Havdra-Charvat entropies cannot be derived from the maximum-entropy formalism. Thus, there can be no entropy that can be parameter dependent, and whose parameter would be different for different systems.
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What if we have several parameters? Then the situation can be described with fuzzy Shannon entropy ( see my paper in Journal of Physics & Astronomy, 2016- Approach with different entropies...)
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Statistical physics uses thermostat idea to describe small energy variations in a big system. Can thermostat be a set or real oscillators with linear interaction with statistical system?
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One of the central themes in Dynamical Systems and Ergodic Theory is that of recurrence, which is a circle of results concerning how points in measurable dynamical systems return close to themselves under iteration. There are several types of recurrent behavior (exact recurrence, Poincaré recurrence, coherent recurrence , ...) for some classes of measurability-preserving discrete time dynamical systems. P. Johnson and A. Sklar in [Recurrence and dispersion under iteration of Čebyšev polynomials. J. Math. Anal. Appl. 54 (1976), no. 3, 752-771] regard the third type („ coherent recurrence” for measurability-preserving transformations) as being of at least equal physical significance, and this type of recurrence fails for Čebyšev polynomials. They also found that there is considerable evidence to support a conjecture that no (strongly) mixing transformation can exhibit coherent recurrence. (This conjecture has been proved by R. E. Rice in [On mixing transformations. Aequationes Math. 17 (1978), no. 1, 104-108].)
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For “the definition of coherent recurrence (for measure/ measurability-preserving transformations) ” see, e.g., in: 1) [P. Johnson and A. Sklar, J. Math. Anal. Appl. 54 (1976), no. 3, 752-771], 2) [R. E. Rice, Aequationes Math. 17 (1978), no. 1, 104-108], 3) H. Fatkić, “O vjerovatnosnim metričkim prostorima i ergodičnim transformacijama (with a summary in English)” on ResarchGate; 4) [ B. Schweizer, A. Sklar, Probabilistic metric spaces, North-Holland Ser. Probab. Appl. Math., North-Holland, New York, 1983; second edition, Dover, Mineola, NY, 2005].
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Suggest the model and methodology to estimate the diffusion coefficient of Fission Products in nuclear fuel in scenario like breach of clad etc. 
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I see lots of papers dealing with application of statistical physics to financial systems. But what are the basic models? There is little point in defining a model, solving it, and finding a answer. Can anybody give me a good starting point?
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I guess the two most simple models would be a local/current trend plus one of the two most basic stochastic processes. For the current trend you could assume that the current growth, stagnation or loss is continuing in the near future. The stochastic process is then either Gaussian white noise fitted to the past or the generalisation being alpha-stable noise fitted to the past (Gaussian corresponding to alpha=2).
The basic philosophical question that you have to answer for youself is then the following: Do you assume that sudden jumps in prices are due to single unpredictable events (crises, rumors etc.) that have to be build in by hand later on? (Then you choose Gaussian white noise + manually added jumps.) Or do assume that smaller and larger crises happen from time to time and you want to model how often crises happen and how big they are? (In this case you choose alpha-stable noise with the parameter alpha fitted in a way that the frequency and the typical height of the jumps describe the past well enough.)
These would be the two most simple models that come to my mind.
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We know the ergodic definition and know the ergodic mappings. But what is the ergodic process?
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A random process is said to be ergodic if the time averages of the process tend to the appropriate ensemble averages. This definition implies that with probability 1, any ensemble average of {X(t)} can be determined from a single sample function of {X(t)}. Clearly, for a process to be ergodic, it has to necessarily be stationary. But not all stationary processes are ergodic.
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Dear Mykola
I will download your papers read them and continue our converation later
Best regards
Dikeos Mario
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Hi all,
                   To calculate residence time from potential of mean force (PMF), we use stable state picture. Here a reaction state, product state are defined.  This is done from radial distribution function. The time taken to move from reaction state to product state is designated as t and residence time is given by,
1-P(t) = e^{-t/tau}, tau is the residence time,
P(t) is the probability  that it moves from reaction state to product state,
t= time taken to move from reaction state to product state. How to calculate P(t)?
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The way I read it, it should simply be P(t)=1-e^{-t/tau}.
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Dear Research-Gaters,
It might be a very trivial question to you : 'What does the term 'wrong dynamics ' actually mean ?'. I have heard that term often times, when somebody presented his/her, her/his results. As it seems to me, the term 'wrong dynamics' is an argument, which is often applicable to bring up arguments that a simulation result might be not very useful. But what does that argument mean in physical quantities ? It that argument related to measures such as correlation functions, e.g. velocity autocorrelation, H-bond autocorrelation or radial distribution functions ? Can 'wrong dynamics' be visualized in terms of a too fast decay in any of those correlation functions in comparison with other equilibrium simulations, or can it simply be measured by deviations of the potential energies, kinetic energies and/or the root-mean square deviation from the starting structure ? At the same time, thermodynamical quantities such as free-energies might not be affected by the term 'wrong dynamics'. Finally, I would like to ask what the term 'wrong dynamics' means, if I used non-equilibrium simulations which are actually completely non-Markovian, i.e. history-independent and out-of equilibrium (Metadynamics, Hyperdynamics). Thank you for your answers. Emanuel
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Start by an obvious remark: the fact that two given Markov process tend to the same (given) equilibrium does not mean that they do so in the same way. In particular, their dynamical behaviour may be quite distinct.
Now Newtonian mechanics will generate some kind of equilibrium. It is often easier to reach that same equilibrium by a stochastic process (Monte-Carlo). Then we are guaranteed that the equilibrium properties will in fact be the same. Static correlation functions, for example, will be correct. However, the dynamical properties need not. Thus the velocity autocorrelation function (the product of v at time t with v at time t+ tau averaged over t) need not have any clear connection. Indeed, in some MC models, there are no velocities!. To the extent that the system is classical, the Newtonian dynamics is the ``correct one'' and the MC is fake. The results that should be trusted are thus the Newtonian ones.
However, in many cases, MC will give dynamics that are, in some sense, qualitatively close to what Newtonian dynamics gives. Nevertheless, such issues must be treated with considerable care.
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How can I find open source model of landslides related disasters. I want learn something about the process of  developing such kind of model including statistical or physical based models.
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Dear All
What is the best/simplest sampling method in Monte Carlo Simulation (MCS)? Do different sampling methods significantly differ in computational time of MCS?What is the best stopping criterion for MCS?
Kind Regards
Ahmad
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Dear Ahmad,
if to speak about pseudorandom number generators for computer-based simulation using the Monte Carlo method, in my research https://www.researchgate.net/publication/314232345_MEX_function_for_multivariate_analysis_of_reliability_indices_depending_on_maintenance_periodicity_of_radio_communication_equipment, I apply a generator based on  L'Ecuyer algorithm with a long period of about 10^8. Then the Inverse transform sampling is used in order to convert random numbers from a uniform distribution into a required probability distribution. 
Kind regards,
Alexander
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For magnetic systems, Rushbrooke inequality is a direct consequence of the thermodynamic relation between  CH, CV and isothermal susceptibility, their positivity, and the definition of the critical exponent alpha as [controlling the behavior of CH  as function of the reduced distance from the critical temperature..
In the case of fluid system, the usual definition of alpha refers to the constant volume specific heat (CV).
However, the role played by CV in the thermodynamic relation between CP, CV and isothermal compressibility is not the same as CH. Some additional hypothesis has to be made in order to derive the  R. inequality  for fluid systems or am I missing something trivial ?
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Wasn't this issue addressed for PVT systems in an open access article published by Elsner (2014) in Engineering 6, 789-826?
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Brain research utilizes diverse measurement techniques which probe diverse spatial scales of neural activity. The majority of human brain research occurs at macroscopic scales, using techniques like functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), while microscopic electrophysiology and imaging studies in animals probe scales down to single neurons.  A major challenge in brain research is to reconcile observations at these different scales of measurement.  Can we identify principles of neural network dynamics that are consistent across different observational length scales?
In recent experimental studies at different scales of observations, power-law distributed observables and other evidence suggest that the cerebral cortex operates in a dynamical regime near a critical point.  Scale-invariance - a fundamental feature of critical phenomena - implies that dynamical properties of the system are independent of the scale of observation (with appropriate scaling).  Thus, if the cortex operates at criticality, then we expect self-similar dynamical structure across a wide-range of spatial scales. Renormalization group is a mathematical tool that is used to study the scale invariance in equilibrium systems and recently, in dynamical systems with non-equilibrium critical steady-state. In the context of neural dynamics,  renormalization group ideas suggest that the dynamical rules governing the large-scale cortical dynamics may be the same as dynamics at smaller spatial scales (with appropriate coarse graining procedures).
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I came up this question because I see a difference when simulating the same A+B<-> C type reaction using Copasi and a particle-based stochastic simulator. Copasi is for well-mixed system, doesn't considering diffusion rate of reactants and solves ODEs to get steady state. I used reaction kinetics rate constant from literature, and noticed a difference in steady state in these outputs of two simulators. I wonder theoretically, whether such a discrepancy should exist, in other words, whether a well-mixed system steady state would be affected by reactants diffusion speed? Thanks.
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It is well known that, if you look at such reactions, for example in the case in which the initial concentrations of A and B are the same, there arise spontaneous separation of the two species in growing domains. This leads to a slower decay than what would be predicted for a homogeneous system. Thus, for a homogeneous system in the case of equal initial concentrations, one has a concentration decaying as 1/t, whereas in the case of finite diffusivities, one has an asymptotic decay law of t^(-d/4), where d is the dimension of the system. It turns out to be rather difficult to observe this in 3 dimensions, but in one and 2 dimensions, it is rather straightforward. See among others
F. Leyvraz and S. Redner,  Spatial structure in diffusion-limited two-species annihilation", Phys. Rev. A 46, 3132 (1992)
and references therein.
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I am looking to  combine Monte Carlo and Molecular dynamics in a simulation. How they can be combined? In general, how to keep the time evolution of the system correctly
Santo
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Yes, it is possible, you can also check the following article.
Regards,
Ender
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It is interesting by the determination of the atomic pressure in solids.
I read some paper about the viral stress which was introduced by Lutsko (J. Appl. Phys. 64 (3), 1988) using the local momentum flux:
dp(r)/dt = - div s(r)
where p(r) is the momentum and s(r) the stress
Following the calculus, it is not clear for me if Lutsko uses the Lagrange of Euler description but I supposed a Lagrangien description. But in this case, I am not sure of the physical meaning of s(r). This point has been discussed by Zhou (Proc. R. Soc. Lond. A (2003) 459, 2347–2392) and in this website :
In the absence of volumic forces, in continuum mechanics, the Newton's law is:
\rho d2u(r)/dt2 = - div s(r)
with u(r) and s(r) the displacement and the Cauchy stress. This equation is valid in the Euler description.
I am confused about the right way to get the atomic stress.
Does someone know about that point ? How can I determine the atomic stress properly ?
Thank you for your answers.
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Dear Mirko,
Expressing the equation in Lagrangian or Eulerian description is just the matter of pulling back or pushing forward the equation.
As you mentioned, the traditional balance of linear momentum that you have written is in Eulerian description and it can be certainly written in Lagrangian form.
In fact, it depends on how you treat the other variables in your formulations. If the main variables like displacement or velocity is considered in the material configuration and all the derivatives in an equation are with respect to material coordinates, your equation will be Lagrangian. Eulerian descriptions refers to spatial coordinate, of course.
Based on your equation, the evaluated stress will be either Eulerian or Updated Lagrangian or totally Lagrangian.