Science topics: PhysicsPhysical Phenomena
Science topic
Physical Phenomena - Science topic
The entities of matter and energy, and the processes, principles, properties, and relationships describing their nature and interactions.
Publications related to Physical Phenomena (10,000)
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Difficulties in understanding physics concepts are often experienced by students such as in the material of regular uniform motion. This study aims to describe the mental models of first-year secondary school students on regular straight-line motion. This research utilized a case study method of 167 students at the secondary level with an average a...
Electrochemotherapy is an innovative technology used to treat skin and mucosal cancers. It consists of intravenous administration of bleomycin followed by the application of electroporation pulses to the tumor at its margins. These pulses induce the formation of pores in the cell membrane, increasing the cytotoxic efficacy of bleomycin by more than...
Electrochemotherapy is an innovative technology used to treat skin and mucosal cancers. It consists of intravenous administration of bleomycin followed by the application of electroporation pulses to the tumor at its margins. These pulses induce the formation of pores in the cell membrane, increasing the cytotoxic efficacy of bleomycin by more than...
This paper proposes a novel domain decomposition (DD) method for the parametric reduced-order model based on the Physics-Data Combined Neural Network (DD-PDCNN). The computational domain is partitioned into a number of subdomains, and a Physics-Data Combined Neural Network (PDCNN) is constructed for each subdomain, which not only represents the dyn...
This book presents cognition of the universality of systems theory thinking by using some ordinary physical phenomena and their methods in study, of which the involved treatments are consistent with the viewpoint of systems theory. It contains the collective actions of classical vibration of many bodies and wave, the extreme value problem in natura...
This research examines the development of physics learning media with a multi-representation approach through a systematic literature review. The research method follows the PRISMA stages with data sources from Google Scholar, including articles published between 2015-2023, which SINTA/Scopus index. Of the initial 769 titles, 30 articles were selec...
The quantum loop model (QLM), along with the quantum dimer model (QDM), are archetypal correlated systems with local constraints. With natural foundations in statistical mechanics, these models are of direct relevance to various important physical concepts and systems, such as topological order, lattice gauge theories, geometric frustrations, or mo...
Layered two-dimensional (2D) materials have revolutionized how we approach light-matter interactions, offering unprecedented optical and electronic properties with the potential for vertical heterostructures and manipulation of spin-valley degrees of freedom. The discovery of moiré physics in twisted heterostructures has further unlocked new possib...
In the current research, the modified extended Fan sub-equation approach is employed for creating the precise traveling wave solution for the perturbed Boussinesq equation. The perturbed Boussinesq equation proved essential to comprehending and investigating shallow water wave dynamics that describes an extended amplitude, slightly nonlinear estima...
In this work, I present a revolutionary approach to solving the Navier-Stokes equations with energy conservation, leveraging the cutting-edge Physics-Informed Neural Networks (PINNs) framework. By integrating physical principles directly into the neural network architecture, I achieved unprecedented accuracy in model-ing fluid dynamics and heat tra...
Interfaces between twisted 2D materials host a wealth of physical phenomena originating from the long-scale periodicity associated with the resulting moire structure. Besides twisting, an alternative route to create structures with comparably long or even longer periodicities is inducing a differential strain between adjacent layers in a van der Wa...
The spark plasma sintering (SPS) process, a key technology for advanced material manufacturing, demands accurate and efficient simulation tools to capture the complex electro-thermal-mechanical interactions inherent in powder materials. This paper introduces a novel concurrent multiscale framework employing the Direct FE$^2$ method, designed for fu...
Partial differential equations (PDEs) are mathematical equations that are used to model physical phenomena around us, such as fluid dynamics, electrodynamics, general relativity, electrostatics, and diffusion. However, solving these equations can be challenging due to the problem known as the dimensionality curse, which makes classical numerical me...
The stochastic nonlinear Kodama (SNLK) equation forced in the Stratonovich sense by multiplicative noise is considered here. New elliptic, hyperbolic, trigonometric, and rational stochastic solutions are acquired using (G′/G)-expansion method and mapping method. Because the SNLK equation is extensively used in is extensively used in nonlinear optic...
The principle of uniformitarianism extended to physics.
Mathematical models of protein-protein dynamics, such as the heterodimer model, play a crucial role in understanding many physical phenomena, e.g., the progression of some neu-rodegenerative diseases. This model is a system of two semilinear parabolic partial differential equations describing the evolution and mutual interaction of biological speci...
Metal cutting processes contribute significant share of the added value of industrial products. The need for machining has grown exponentially with increasing demands for quality and accuracy, and despite of more than a century of research in the field, there are no reliable and accurate models that describe all the physical phenomena needed to opt...
Mathematical simulation has significantly broadened with the advancement of parallel computing, particularly in its capacity to comprehend physical phenomena across extensive temporal and spatial dimensions. High-performance parallel computing finds extensive application across diverse domains of technology and science, including the realm of acous...
Hybrid bonded-bolted (HBB) joining is common method used in aircraft assembly, particularly for critical junctions such as the wing-to-fuselage joint, to ensure both quality and durability. Accurate simulation of HBB joining presents a significant challenge, as it requires a proper description of the contact interaction of the assembled parts, the...
The star matter composed of nucleons deep inside compact stars, such as neutron stars, is believed to be very dense, such that various types of new concepts and physical phenomena are naturally expected due to the nontrivial strong correlations between hadrons. The possibility of revealing the hidden scale symmetry in dense baryonic matter has been...
Magnetohydrodynamic (MHD) numerical simulation has emerged as a pivotal tool in space physics research, witnessing significant advancements. This methodology offers invaluable insights into diverse space physical phenomena based on solving the fundamental MHD equations. Various numerical methods are utilized to approximate the MHD equations. Among...
The development of unit systems in physics reflects our fundamental understanding of nature's operations. This paper demonstrates that the Quantum Measurement Units (QMU) and centimeter-gram-second (cgs) systems share a profound natural alignment with physical geometry and distributed charge that makes them inherently superior to the meter-kilogram...
Superconducting circuits based on hybrid InAs Josephson Junctions (JJs) play a starring role in the design of fast and ultra‐low power consumption solid‐state quantum electronics and exploring novel physical phenomena. Conventionally, 3D substrates, 2D quantum wells (QWs), and 1D nanowires (NWs) made of InAs are employed to create superconducting c...
Interfaces between twisted 2D materials host a wealth of physical phenomena originating from the long-scale periodicity associated with the resulting moiré structure. Besides twisting, an alternative route to create structures with comparably long—or even longer—periodicities is inducing a differential strain between adjacent layers in a van der Wa...
Topological metasurfaces based on the quantum valley Hall effect have garnered attention for their ability to enable novel physical phenomena. However, the propagation characteristics of flexible topological metasurfaces under bending and folding remain underexplored, leaving open questions about the behaviors of topological edge states in these co...
The universe, at its most fundamental level, may operate as a vast computational system, with Planck-scale operations serving as its foundational "ticks." These operations occur at the smallest measurable scales of space and time, where the classical notions of continuity break down, and quantum phenomena dominate. In this paper, we argue that the...
This paper deals with the effect of electrodynamic forces acting on the primary current paths of residual current circuit breakers. This paper consists of a simulation part and an experimental part from the short-circuit tests performed. The experimental part presents short-circuit tests and shows the occurrence of electrodynamic forces in a visibl...
Topological flatband materials have garnered significant attention due to their strongly correlated electronic states. Here, we propose the typical flatband and topological features in the classical copper-based kagome lattice CaCu 5. Our work confirms the stability of the CaCu 5 system. Notably, we identify flatbands in the band structure of the C...
Evidence from physics education research suggests that the introduction of a formalistic description of quantum phenomena can be beneficial to student learning, particularly in terms of helping students move away from naive realist views of quanta or space-time descriptions of quantum phenomena. However, the mathematical requirements for mastering...
Hydrogen combustion systems operated under fuel-lean conditions offer great potential for low emissions. However, these operating conditions are also susceptible to intrinsic thermodiffusive combustion instabilities. Even though technical combustors are enclosed by walls that significantly influence the combustion process, intrinsic flame instabili...
Studying and understanding many‐body interactions, particularly electron‐boson interactions, is essential for a deeper elucidation of fundamental physical phenomena and the development of novel material functionalities. Here, this aspect is explored in the weak itinerant ferromagnet LaCo2P2 by means of momentum‐resolved photoelectron spectroscopy (...
Fractional differential equations (FDEs) have gained significant attention due to their ability to model complex physical phenomena exhibiting memory and hereditary properties, which cannot be captured by classical integer-order models. Solving fractional boundary value problems (FBVPs) is a challenging task, particularly due to the non-local natur...
Neutron stars provide a compelling testing ground for gravity, nuclear dynamics, and physics beyond the Standard Model, and so it will be useful to locate the neutron stars nearest to Earth. To that end, we revisit pulsar distance estimates extracted from the dispersion measure of pulsar radio waves scattering on electrons. In particular, we create...
The article presents an analytical solution for the higher-order nonlinear Schrödinger equation (NLSE), which describes the propagation of short light pulses in monomode optical fibers. Various traveling wave solutions are obtained using the generalized exponential rational function method, a technique with substantial applications in physics and m...
This work focuses on the study of bioconvection in a conical region of rotating and stationary cone-disk systems utilizing nanofluids involving gyrotactic micro-organisms. The flow geometry encompasses two different configurations, namely, rotating cone-disk system (RCDS) and stationary cone-disk system (SCDS). For RCDS, four unique configurations...
Recently, time-reversal symmetry broken magnetic Weyl semimetals (WSMs) have attracted extensive attention and have provided an intriguing platform for exploring fundamental physical phenomena. The study of chromium telluride-based systems has also drawn significant interest towards spintronics applications owing to their high Curie temperatures. H...
Twisted 2D material heterostructures provide an exciting platform for investigating new fundamental physical phenomena. Many of the most interesting behaviours emerge at small twist angles, where the materials reconstruct to form areas of perfectly stacked crystal separated by partial dislocations. However, understanding the properties of these sys...
Understanding the geometric properties of quantum states and their implications in fundamental physical phenomena is a core aspect of contemporary physics. The quantum geometric tensor (QGT) is a central physical object in this regard, encoding complete information about the geometry of the quantum state. The imaginary part of the QGT is the well-k...
Consciousness, the essence of subjective experience and self-awareness, remains one of the most profound mysteries in science and philosophy. Despite advances in neuroscience and cognitive science, fundamental questions about the nature of consciousness—such as why it exists and how it arises—continue to challenge conventional frameworks of underst...
The quantum Hall effect is an important physical phenomenon which has been analyzed both theoretically and experimentally for a few decades by now. In this chapter, we discuss this effect in relation to geometric quantization. We will also see how fractional statistics for quasiparticles is related to nontrivial $$\mathcal {H}^1(M, \mathbb {R})$$ o...
We demonstrate how to derive approximate expressions for the amplitude decay of a weakly damped harmonic oscillator in case of a damping force with constant magnitude (sliding friction) and in case of a damping force quadratic in velocity (air resistance), without solving the associated equations of motion. This is achieved using a basic understand...
This paper addresses the numerical solutions of fractional differential equations (FDEs) using the Generalized Kudryashov Method (GKM) in the context of the conformable fractional derivative. Fractional calculus, particularly the conformable derivative, provides a versatile framework for modeling systems exhibiting memory and hereditary properties...
This tutorial offers a comprehensive overview of photonic time crystals: artificial materials whose electromagnetic properties are periodically modulated in time at scales comparable to the oscillation period of light while remaining spatially uniform. Being the temporal analogs to traditional photonic crystals, photonic time crystals differ in tha...
The Geometric-Topological Emergence Framework (GTEF) proposes that the fundamental behavior of the universe emerges from the quantized structure of space, time, and energy, governed by principles of geometry and topology. By unifying these foundational dimensions, GTEF introduces a single spacio-thermo-temporal vector (Tk) that encapsulates the dua...
Evidence has emerged for a stochastic signal correlated among 67 pulsars within the 15-year pulsar-timing data set compiled by the NANOGrav collaboration. Similar signals have been found in data from the European, Indian, Parkes, and Chinese PTAs. This signal has been interpreted as indicative of the presence of a nanohertz stochastic gravitational...
Ferroelectric tunnel junctions (FTJs) harness the unique combination of ferroelectricity and quantum tunneling, and thus herald new opportunities in next-generation nonvolatile memory technologies. Recent advancements in the fabrication of ultrathin heterostructures have enabled the integration of ferroelectrics with various functional materials, f...
Following text is focused solely on the content of AI generated images created using AI chatbot for the purpose of their use in physics teaching, i.e. use of AI generated images that cover some physical phenomena.
This paper proposes the Unified Perception Theory (UPT), a model in which space, time, and matter emerge from a deeper field of perception rooted in the interplay of altruistic and egoistic forces. Drawing inspiration from Bnei Baruch Kabbalah teachings, UPT redefines physical phenomena as manifestations of inner spiritual dynamics, bridging metaph...
Introduction: Genealogy and research methods derived from it, such as discourse analysis, have become widely used today, and many social issues and phenomena are studied through this approach. On the other hand, this method is not compatible with the Islamic tradition and leads to methodological relativism. In this article, we intend to examine and...
In wildfires, burning pieces of ember-firebrands-are carried downstream by wind. At the time of landing, these firebrands can start secondary fires far away from the main burning unit. This phenomenon is called spotting and the secondary fires are referred to as spot fires. Here, we first present numerical evidence that atmospheric traveling waves...
Hydrocarbon fields that contain non-associated gas, such as gas condensate, are highly valuable in terms of production. They yield significant amounts of condensate alongside the gas, but their unique behavior presents challenges. These reservoirs experience constant changes in composition and phases during production, which can lead to condensate...
The author discusses with about AI his speculative theory about quantum origin of consciousness which implies the possibility that reincarnation is just natural physical phenomenon like Solitary Wave known as soliton but of quantum chacter. Discussion Jerzy Zbigniew Achimowicz is a researcher at the Warsaw Medical Academy who has proposed a theory...
As imaging techniques and data acquisition technologies advance, and the storage of large datasets becomes more cost-effective, the field of rock mechanics has access to unprecedented amounts of detailed experimental and image data. This thesis presents the development of an image-based machine learning model to predict strain concentration during...
The memristor has recently demonstrated considerable potential in the field of large‐scale data information processing. Metal halide perovskites (MHPs) have emerged as the leading contenders for memristors due to their sensitive optoelectronic response, low power consumption, and ability to be prepared at low temperatures. This work presents a comp...
Tactile interaction plays an essential role in human-to-human interaction. People gain comfort and support from tactile interactions with others and touch is an important predictor for trust. While touch has been explored as a communicative modality in HCI and HRI, we here report on two studies in which touching a social robot is used to regulate p...
We present the study of a peculiar case of the skeletal remains of an individual who was later recognised as a saint. According to the stories of his life he suffered a life of deprivation accompanied by physical phenomena that often considered as supernatural events. These events at least are not well defined from the scientific point of view. Ant...
2D stacking presents a promising avenue for creating periodic superstructures that unveil novel physical phenomena. While extensive research has focused on lateral 2D material superstructures formed through composition modulation and twisted moiré structures, the exploration of vertical periodicity in 2D material superstructures remains limited. Al...
The study focuses on the fractional complex order plant model, which has gained popularity in applied mathematics, physics, and control systems. A significant contribution of this research lies in discussing the physical phenomena associated with complex plant models and their impact on system stability and robustness. The main purpose of the metho...
The argument of this article is threefold. First, the article argues that from its rise in the sixteenth century to our own time, the advancement of modern physics as mathematical-experimental science has been defined by the invention of new mathematical structures. Second, the article argues that quantum theory, especially following quantum mechan...
Fractional partial differential equations (FPDEs) have become very popular to model and analyze numerous different physical phenomena in recent years. However, it is generally complicated to find the exact solutions of those FPDEs. The objective of this study is to find the approximate numerical solution of FPDEs by introducing a wavelet-based oper...
Two-dimensional (2D) carrier systems exhibit various significant physical phenomena for electronics and spintronics, where one of the most promising traits is efficient spin-to-charge conversion stemming from their Rashba-type spin-orbit interaction. Meanwhile, a nuisance in quests of promising materials for spintronics application is that vast maj...
We present a comprehensive development of the Einstein-Cartan-Kaluza-Klein (ECKK) theory as a unified framework that extends General Relativity by incorporating spacetime torsion and extra compact dimensions. This theory aims to derive the fundamental properties of particles—spin, mass, and charge—from a purely geometric perspective. We rigorously...
Category-theoretical "Quantum Picturalism" in contemporary quantum computer science is introducing a new mathematics, based on diagramming thinking and representing animated information flow as the links between tensor products (or " spiders "). Artificial Intelligence may introduce another kind of mathematics of diagrams, where spider diagrams or...
Nonlinear science is a key area of scientific research dedicated to studying the fundamental properties and common features of nonlinear phenomena. This study specifically investigates the (2+1)-dimensional Kadomtsev-Petviashvili-Benjamin-Bona-Mahony (KP-BBM) equation in nonlinear dispersive systems. By employing the Hirota bilinear method along wi...
In recent years, research on near-field thermophotonic systems has predominantly focused on waste heat recovery and electroluminescence cooling, while studies on near-field thermophotonic converters for solar energy harvesting have not been reported. We propose a near-field solar thermophotonic converter (NF-STC) that harnesses the full solar spect...
This paper presents a novel strategy for constructing body source terms in the high-order lattice Boltzmann method (LBM), designed to efficiently introduce various physical phenomena by modifying the non-equilibrium distribution function. The source term, expressed as a Hermite polynomial, provides a flexible framework for simulating complex fluid...
In this paper, the time-fractional heat equation with the Caputo derivative of order α where 0 < α ≤ 1 is considered. The parametric Crank-Nicholson type method for direct problems is used. But for the inverse problem, for finding the best conduction parameter c and the best order of fractional derivative α, we use genetic algorithm (GA) for minimiz...
Similar to algorithms, which consume time and memory to run, hardware requires resources to function. For devices processing physical waves, implementing operations needs sufficient "space," as dictated by wave physics. How much space is needed to perform a certain function is a fundamental question in optics, with recent research addressing it for...
Intriguing physical phenomena observed in natural materials have inspired the development of several engineering materials with dramatically improved performance. Marine sponge glass fibers, for instance, have attracted interest in recent decades. We tested the glass fibers in tension and observed that the strength of these fibers scales inversely...
The ability to actively and dynamically control electronic states at ultrafast timescales opens up a wide range of potential applications across optoelectronics, quantum computing and sensing, energy conversion and storage, etc. Yet, achieving dynamic electronic manipulation via coherent phonons has posed a considerable challenge. Here, employing t...
Artificial spin ices provide a controlled platform for investigating diverse physical phenomena, such as geometric frustration, magnetic monopoles, and phase transitions, via deliberate design. Here, we introduce a novel approach by developing artificial spin ice on the surfaces of a three-dimensional cube, which leads to emergent geometric frustra...