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Does Ni(II) ion bonded with "N" or "S" parts of the organic ligand?
Send me the paper related to this idea.
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In my opinion, the transition metal is bonded with less electronegative atom sulfur than N.
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I have recently prepared transition metal chalcogenides using a selenization method (which involves evaporating a layer of metal film with an ion beam and then reacting it with selenium powder). However, the grown thin film exhibits a pronounced granular texture and numerous voids under an optical microscope. Despite having sharp Raman spectroscopy peaks, no photocurrent response from the material can be observed. May I ask what the reason for this is, and how should I regulate the growth of the thin film? (What should be used as the criterion for evaluating the quality of the thin film? Must the quality of thin films prepared by this method be inferior to those prepared by chemical vapor deposition?)
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I think this is due to the non-adjustable metal/chalcogen ratio. During the reaction with selenium powder, compositional inhomogeneities are possible. Many transition metals exhibit different valences. Therefore, the local composition may be different. And at different valences, materials have different crystal structures and, therefore, volumes. Hence the inhomogeneities in the morphology of your film.
As for me, it is better to selenize using selenium vapor. This will be much more homogeneous due to the much greater diffusion mobility of selenium in the vapor than in the solid state.
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I need a Protein Database File and a topology file for simulation
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Thanks for providing me the structural file . surely it will help me out.
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Why is mercury metal, unlike all transition metals, liquid? How to explain this scientific fact to students in simple language?
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Please check the following article for more info related to Mercury and other liquid metals:
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Dear Prof/Researcher/scientist's,
Generally, Energy and power densities are calculated from the device, (or/but), some reported paper's calculated from the three-electrode system.
Please kindly reply researcher's and professor's
2. Another question : How to mass balance (m- = m+) for Asymmetric supercapacitor?,
Cathode: transition Metal oxide (ex: NiO) and Anode A.C
How to charge balance (Q- = Q+), Please kindly give the reply (hand written/ or reference)
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Device (2 electrode ) set up is good only for calculating energy and power density.
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Hello everyone,
I am a chemistry student working on my graduation project focusing on transition metal acetylacetonate complexes, specifically Fe, Mn, and Cu. I am looking for the best solvents to use for preparing solutions for electrical conductivity (EC) and UV measurements.
If anyone has experience or suggestions regarding suitable solvents or any tips on preparing these solutions, I would greatly appreciate your input!
Thank you in advance!
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Hi,
I would recommend using the same solvent for both measurements. FYI I would expect most M(acac)n to have no conductivity, but if you mean electrochemistry (CV) then acetonitrile, DMF, or DMSO would work for both e-chem and UV-Vis.
-Kyle
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Generally hybrid functions in the DFT modelling description electron-electron and electron-nuclei well. Do they can also describe the strongly corrected electrons systems, e.g. 3d transition metal oxides and van der Waals interactions between molecules ?
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Dear Massimiliano,
Thank you very much for your kindness and sharing the knowledge. Indeed, in quantum chemistry approaches, large BS is the key for reliable results. Thus, the hybrid functionals should be the same for the Hartree-Fock part.
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I am using Materials Studio and the CASTEP software package. I would like to apply Hubbard U corrections to a model that includes transition metals. Should I directly adjust the Hubbard U values for the atoms in the "Electronic Configuration" section, and do I need to enable the LDA+U option during the calculations?
If I don't use LDA+U, will the system be unable to recognize the Hubbard U correction values?
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You must enable the LDA+U option during the calculations. This is because the Hubbard 𝑈 correction is specifically applied within the LDA+U (or GGA+U) framework. Without enabling LDA+U, the system will not recognize or apply the Hubbard 𝑈 values you have set. The LDA+U method modifies the exchange-correlation functional to account for the on-site Coulomb interactions for localized 𝑑 or 𝑓 electrons, which is crucial for transition metals.
After enabling LDA+U, you should indeed adjust the Hubbard 𝑈 values in the Electronic Configuration section of CASTEP. This is where you specify the 𝑈 parameters for the specific orbitals of the transition metal atoms in your system. These values are typically determined from literature or by fitting to experimental data.
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Palladium seems to coordinated to strong with a N-Boc amino acid in my substrate. What kind of transition metal has minor coordination with N-Boc amino acid? Is there any references?
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It really depends on the metal's ligand set and HSAB theory. Here's a paper where the carboxylates bind:
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Only the absorption side is considered, and the fine structure of the extended side is not considered
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Dear Tao Zeng,
there is an empirical parameter description of the energy/waven length dependence of the x-ray absorption (mass-attenuation coefficient µ/rho) from the early 1900 given by Victoreen.
µ/rho = C*lamba3 - D*lamda4 +sigmaK-N*N*Z/A
with µ/rho as mass attenuation coefficient,
lambda as the x-ray wave length,
N as the Avogadro number;
Z as the atomic number and
A as the atomic weight.
C and D are the empirical parameters,; they change when crossing the aborption edge...
The term 'sigmaK-N*N*Z/A' is the contribution of the Compton scattering to the x-ray attenuation and its energy dependence is given by the Klein-Nishina (K-N) cross-section.
You can find detailed description in the International Tables of x-ray crystallography Vol. III.
I will send you an excerpt of the relevant pages therein by RG messenger...
Good lukc and
best regards
G.M.
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I have been working on sesqui-chalcogenides, i.e., M2X3 structure where M=transition metal and X=chalcogen with VASP. After simulating the bandstructure for both the non spin-polarised and spin-polarized case, I found two different bandgaps that are far different. I tried to reproduce the data on Nb2Se3 and found the bandstructure and Density of States to be the similar. hence I hope my results are accurate. Only problem is I got a negetive value (-2.9 eV) for ISPIN=1 and 0.007 for ISPIN=2 and their TDOS is also different. I have attached the plots here.
Bandgap and TDOS are solely dependent on the crystal structure and material itself, aren't they? Then why do I get different results? Which one is accurate,polarised or non-polarized case? The situation really gets worse, as a negative bandgap might be an indication of topological insulation (band inversion). How do I know if the band is really inverted and it is topological insulator or it is metal and the negative value is due to the underestimation of bandgap by LDA and GGA?
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For a "bandgap" to exist, there must be a gap between two bands, the valence and conduction bands. In metals, this doesn’t apply because there is no gap. I have never heard about this negative bandgap. I apologize if I am missing some concept, but to me, it's not correct to attribute a bandgap to a conducting material.
I don't know that much of polarization, but it would be better if you know previously if the material is magnetic, so you can turn the polarization on. But I really want to know how to determine if a material is magnetic with DFT.
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when we analyse the bond type between the transition metal atom and nonmetal atoms, for instance, B or N, it will arouse a problem bothering me. which chemical bonding type will form, covalent or ionic or other? how should we confirm it use the proper method?
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Transition metals often form complex bonds that can have both ionic and covalent character. To confirm the bond type between a transition metal and a nonmetal like B or N using a paper-based method, first examine the electronegativity difference: a significant difference (greater than 1.7) suggests ionic bonding, while a smaller difference indicates covalent bonding. Then, analyze bond lengths and energies from crystallographic data or spectroscopy; shorter, stronger bonds typically indicate covalent character. Additionally, use spectroscopic techniques such as IR or Raman to study vibrational modes, and XPS to examine electronic environments. Lastly, compare the compound's properties (e.g., solubility, conductivity) with known ionic and covalent compounds to draw parallels. Combining these steps will help confirm whether the bond is predominantly ionic, covalent, or a mix of both.
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Dear all,
In specialized literature, it is usually reported that asymmetry due to the conduction band accepting electrons from shake-up processes after the ejection of the initial core electron becomes more significant for transition metals when the cluster size decreases. However, there are also numerous examples in the literature where symmetric line shapes (G/L) have been used to fit the M(0) component of metal nanoparticles, especially when the spectral resolution is low.
On the other hand, for metal carbides, I found people tend to use asymmetric line shapes when the crystallite size of the carbide becomes larger than 2-3 nm.
In summary:
1) I was wondering how critical it is to consider the asymmetry in transition metal NPs when acquiring low-resolution XPS spectra. Is the asymmetry affected by the pass energy and the fact of having low metal loadings?
2) Is there a reliable method for predicting the degree of asymmetry, apart from using standards that replicate a transition metal nanoparticle in a complete zero-valent state in an analogous environment?
3) Are there truly general rules for predicting how asymmetry changes with cluster size in metal and metal carbides particles?
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Hello Jaime,
The asymmetry in the M(0) originates from the possibility of a additional energy loss due to inelastic scattering. As metallic samples have no bandgap the shake-up process manifests as a continuous asymmetric shoulder rather than a defined shake-up peak seen in i.e. oxides.
The degree of this varies and depend on the details of a materials band structure. Particularly for small clusters they can change significantly, typically acting less metallic with hence less asymmetry.
Regarding 1) low resolution spectra taken at larger pass energies will show less of an asymmetry as the instrumental broadening, which is Gaussian will dominate (all sources of broadening add up in square sums).
Regarding 2) Reliable prediction would require detailed band structure calculations and are not easily done. For example see:
Regarding 3) Just from very generic size confinement rules I'd suspect the smaller the cluster the less asymmetry. from my own experience even in thin metal films this can be seen with thin films showing less than i.e. single crystal bulk metals.
Hope that helps
Karsten
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When I refined my XRD data by using GSAS software, the GOF value always came out at more than 4. My material is an O3-type layered transition metal oxide cathode material.
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Dear friend Bibi Safia
Well, when it comes to XRD refinement, the Goodness of Fit (GOF) is indeed an essential parameter. Ideally, you'd Bibi Safia want a GOF value as close to 1 as possible, indicating a perfect fit between the observed and calculated patterns. However, it's rare to achieve a GOF of exactly 1 due to experimental errors and limitations in modeling.
In the case of XRD refinement using GSAS software, a GOF value of more than 4 is quite high. While there's no hard and fast rule, a GOF value of less than 2 is often considered acceptable in many cases. It indicates a reasonably good fit between your Bibi Safia observed data and the calculated pattern.
Now, let's address your specific scenario. You Bibi Safia mentioned your material is an O3-type layered transition metal oxide cathode material. These materials often have complex structures, which can make achieving a low GOF challenging. However, a GOF value of more than 4 suggests that there might be some issues with your refinement.
Here are a few things to consider:
1. **Data Quality**: Ensure that your Bibi Safia XRD data is of high quality, with good signal-to-noise ratio and minimal artifacts.
2. **Instrument Calibration**: Check if your Bibi Safia XRD instrument is properly calibrated. Incorrect calibration can lead to inaccuracies in your data.
3. **Modeling Parameters**: Review the parameters used in your Bibi Safia refinement. Make sure they accurately represent the crystal structure and properties of your material.
4. **Peak Broadening**: If your Bibi Safia peaks are broad, it might indicate issues like micro-strain or crystallite size variation. Adjusting these parameters can improve your fit.
5. **Background Subtraction**: Ensure that the background subtraction is properly done to avoid interference with peak intensities.
6. **Phase Purity**: If your Bibi Safia material contains multiple phases, ensure that you're refining each phase separately.
7. **Refinement Strategy**: Experiment with different refinement strategies and software settings to see if you Bibi Safia can achieve a better fit.
Remember, XRD refinement is both an art and a science. It often requires some trial and error to get the best results. Don't hesitate to explore different approaches until you Bibi Safia achieve a satisfactory fit.
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I'm currently working on the PMS activation so I wonder about the difference between using MOF, metal oxide, or metal hydroxide as a heterogeneous catalyst, and what are the better ones. I'm looking forward to your answer. I truly appreciate your helping.
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Dear Meg Nguyen
Heterogeneous catalysts derived from transition metals can exhibit varying properties and performance depending on their composition and structure. Here's a comparison of catalysts derived from metal oxides, metal hydroxides, and metal-organic frameworks (MOFs), along with their advantages and disadvantages:
Metal Oxides:
Advantages:
High thermal stability and robustness.
Wide availability of transition metal oxides.
Tunable surface properties through modification of the metal oxide composition or doping.
Can provide strong Lewis acid or base sites for catalytic reactions.
Disadvantages:
Limited surface area, which can affect catalytic activity, especially for reactions requiring high surface area.
May suffer from sintering or agglomeration during catalytic reactions, leading to loss of active surface sites and reduced catalytic efficiency.
Limited control over morphology and surface structure, which can impact catalytic selectivity and stability.
Metal Hydroxides:
Advantages:
Can serve as precursors for metal oxide catalysts through controlled thermal decomposition.
Some metal hydroxides exhibit high surface area and porosity, enhancing catalytic activity.
May offer tunable surface chemistry and reactivity through surface functionalization or modification.
Disadvantages:
Susceptible to hydrolysis and dissolution under certain reaction conditions, leading to loss of catalytic activity and stability.
Limited thermal stability compared to metal oxides.
Surface hydroxyl groups can act as adsorption sites for reactants, but may also lead to catalyst deactivation due to surface poisoning or blocking.
Metal-Organic Frameworks (MOFs):
Advantages:
High surface area and porosity, providing abundant active sites for catalysis.
Tailorable pore size and surface functionality, enabling precise control over catalytic properties and selectivity.
Potential for incorporation of multiple metal centers and organic linkers to create multifunctional catalysts.
Enhanced stability compared to traditional porous materials under certain reaction conditions.
Disadvantages:
Limited thermal stability at high temperatures, which can restrict their use in catalytic reactions requiring elevated temperatures.
Susceptible to structural collapse or framework decomposition under harsh chemical environments or in the presence of moisture.
Synthesis of MOFs with desired properties can be challenging and may require specialized techniques.
Cost considerations, as some MOF synthesis methods can be relatively expensive compared to traditional metal oxide or hydroxide catalysts.
In the context of PMS (peroxydisulfate) activation, each type of heterogeneous catalyst may offer unique advantages and challenges. Metal oxides and hydroxides may provide robust catalytic activity for PMS activation, especially for reactions requiring high thermal stability. On the other hand, MOFs could offer tailored pore structures and surface functionalities, potentially leading to enhanced catalytic performance and selectivity. The choice of catalyst ultimately depends on factors such as the specific reaction conditions, desired catalytic activity, stability requirements, and availability of suitable catalyst materials.
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can anyone give me advise about charge transfer transition of transition metal and rare earth element?
and usually people see the FL and absorption, emission spectra of those materials in glass, and I just want to know how much energy need to ionization the transition metal and rare earth element.
Could you recommend some studying source about it?
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Transition Metal Catalysis.
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Database Search: Use academic databases such as PubMed, Web of Science, Scopus, Google Scholar, or specialized databases in chemistry like Reaxys or SciFinder.
Keyword Search: Use relevant keywords and phrases to narrow down your search. For Asymmetric Catalysis, you might use keywords like "asymmetric catalysis," "chiral catalysis," "enantioselective catalysis," etc. You can use Boolean operators (AND, OR, NOT) to refine your search. For example, "asymmetric catalysis" AND "organic synthesis."
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I have been pondering why nickel only exists as the Ni2+ ion in nature. I know that Ni+ and Ni3+ also exist, but unlike iron (Fe), Ni3+ is not nearly as common as Ni2+. So, I have investigated this and arrived at an explanation but haven't quite reached a conclusion yet.
This is how I understand it:
Nickel has an electron configuration of (Ar)4s2_3d8, and iron has (Ar)4s2_3d6.
It's easy to understand the ionization to Fe2+ and Ni2+ because the 4s2 electrons are farther from the nucleus and now easier to remove. It's also easy to comprehend that the ionization energy is higher for iron because the 3d shell in nickel has more electrons, thus shielding more against the nucleus's attractive force.
Ionizing to Fe3+ might be understandable as it might be relatively easy to remove one of iron's only paired electrons in 3d6, and I guess that 3d5 is stable because the shell is half-filled.
But why is it so challenging to ionize nickel's 3d8 to 3d7, 3d6, etc.? Is a shell with 8 electrons already stable? Or why is it so?
I hope to be able to understand this.
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I think the point is that Fe has one d-electron in excess of the half-filled d-shell and easily gives it away in order to minimize the total orbital momentum of this shell in accordance with the well-known Hund’s rule.
Ni already has three d-electrons over half and their reduction to two becomes not as beneficial for reducing the total orbital momentum as in the case of Fe.
Having a valence of 2 is equally beneficial for both Fe and Ni, since it involves s-electrons with zero orbital momentum.
Therefore, the Fe3+ state is more common than Ni3+.
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I have been trying to get reasonably accurate values for oxidation states and ionic radii for ions in transition metal sulfide materials from their VASP outputs. I tried using the bader charge analysis code on the CHGCAR file (by summing up AECCAR0 and AECCAR2 files). The ionic radii calculated from the atomic volumes given in the AVF.dat file is not giving the radii values as expected (Au+ is larger than S2- according to the analysis). Also, kindly suggest how can I determine the oxidation states of the metal ions from the bader charges on each atom.
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Wang Jinkai I see. Thanks a lot for your insights!
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I have used the equal amount of same salt of two different metal like CuCl2 and ZnCl2, Oxidation of both metal is same but XRD peaks of only one metal has appeared. Even that both metal have their XRD peaks at different angles. If un-equal amount is used then one metal has broad peaks while 2nd metal is has minor peaks. Please guide.
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Noor Hassan If you are observing X-ray diffraction (XRD) peaks of one metal in a composite material synthesized using equal amounts of CuCl2 and ZnCl2 can be influenced by factors such as crystal structure, phase competition, amorphous phase formation, solubility, and reaction kinetics. Unequal amounts may result in a dominant phase or crystal structure associated with the metal in higher concentration. Other characterization techniques, such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), or energy-dispersive X-ray spectroscopy (EDS), can help you better understand the morphology, structure, and composition of the composite material.
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Hello.
I am doing some DFT calculations on transition metal carbide; zirconium carbide.
There already exists some ZrC DFT papers.
However I can't find any reference that indicated Hubbard u parameter.
So is it okay to exclude Hubbard U parameter for ZrC?
Thanks.
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Dear Kwon,
Maybe this article can help you
The authors made a estimative for the Hubbard Parameter for Zr atoms in ZrO. So you can test it for your system.
Best regards.
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Is it possible that a semiconductor when doped with transition metal may have its resistivity in the MegaOhm-cm range? The resistivity of the material without doping is however between 0.9 - 1 Ohm-cm.
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It may depend on a multitude of factors. The information provided is not exhaustive enough to adequately address the question. Adding a dopant (How? How much?) can significantly affect both the electronic band structure and the crystal structure, as well as the quality of your contacts. Without sufficient details and with no basis for my answer, I doubt that a small doping (if it is indeed small) would affect your band structure to such an extent. However, what is generally observed may not necessarily apply to a specific material like yours. Therefore, I will focus more on the crystal structure, surface roughness, or the quality of the contacts.
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I am doing VASP calculations with a bulk triclinic lattice system involving transition metals Cr and V. I know that you can check the spin for the entire system with the OSZICAR file from VASP but is there a way to check the spin multiplicity on each individual V atom and each individual Cr atom in the system to see how many unpaired spins each transition metal atom has?
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Hi
Please follow the following video for step by step approch to plot the spin density and also shown the number of spin electron in the system: https://youtu.be/g5G0Lf21sZw?si=xJ8dRQAioLjxsA0G
thank you
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I have tried various transition metal catalysts of Zn/Cu/Al/Fe/ as Lewis acids, but no product.
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If I understand correctly what you're asking, you could try Na + alkyne. Sodium metal (25 μ), suspended in xylene + alkyne at 100-110°C. You can follow the reaction by monitoring the H2. Also, you may try organolithium or Grignard reagents, in ether, to obtain -MgBr derivative.
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I am working on transition metal oxides, an antiferromagnetic system. I trying to calculate the activation barrier and transition state of the system. I am using Nudged Elastic Band method implemented in the program Quantum Espresso. Unfortunately, the NEB calculation is not converging. I tried lowering the mixing_beta value and tried adding an intermediate image, but still, it was not converging.
The magnetization values in the reactant and product are different. However, since we cannot specify different starting magnetizations for the reactant and product in the NEB calculation, we have used the same values for both the reactant and the product. I would like to know whether our approach is correct and also would like to know what can be done to achieve convergence of the NEB calculation of such magnetically ordered systems.
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In magnetically ordered systems, the presence of different magnetization states in the reactant and product can indeed pose challenges for the convergence of the Nudged Elastic Band (NEB) calculation. Here are some considerations and possible strategies to address this issue:
  1. Initialize intermediate images: Adding intermediate images along the reaction pathway can help guide the NEB calculation and improve convergence. The intermediate images can act as "stepping stones" between the reactant and product states, allowing for a smoother transition. Make sure to distribute the intermediate images evenly along the reaction coordinate and adjust the number of images as needed.
  2. Vary initial magnetization: While the NEB method in Quantum Espresso does not directly allow for specifying different starting magnetizations for the reactant and product, you can try a workaround. Start by performing separate calculations for the reactant and product states, ensuring that the magnetization values are consistent within each calculation. Then, use the converged charge density from the separate calculations as the initial guess for the NEB calculation, keeping the magnetization values the same for all images. Although this approach does not explicitly account for different magnetizations, it can serve as an approximation.
  3. Constraining magnetization: In some cases, constraining the magnetization during the NEB calculation can aid convergence. This involves fixing the magnetization of selected atoms or regions to certain values to maintain a consistent magnetic configuration throughout the reaction pathway. However, this approach should be used with caution, as it may introduce biases in the calculation.
  4. Adjusting convergence parameters: It's important to carefully choose convergence parameters such as the force tolerance, mixing_beta value, and the number of ionic steps in each NEB image. Lowering the force tolerance and adjusting the mixing_beta value can help improve convergence, but extreme values should be avoided as they may hinder convergence or introduce instability. It may be necessary to perform several trial runs with different parameter settings to find the optimal values for your specific system.
  5. Enhanced Sampling Methods: If the NEB calculation still struggles to converge, you can consider using enhanced sampling methods such as metadynamics or transition path sampling. These methods can help explore the reaction pathway more efficiently and overcome convergence issues associated with complex energy landscapes.
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During the transport of oxygen Fe and Cu plays a vital role but why not other transition metals like Co, Mn, and others, what is the reason behind this?
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The main reasons are the chemical properties and natural abundance. Co is also able to reversibly bind O2, but cobalt is not very abundant, about 2500 times less than iron. Copper is the 25th most abundant element in the earth's crust. Iron is the fourth most abundant element.
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I use the material studio software to research water splitting by a single transition metal electrocatalyst.
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Dear Ghazaleh,
I think a negative slope between *OH and *OOH sounds very strange and I would advise you to be very careful with your results. In my experience this scaling relation is very robust and does not change when considering different systems. The same scaling relations have been observed independent of whether transition metal doped graphene (DOI: 10.1016/j.nanoen.2016.04.011), transition metal oxides (DOI: 10.1002/cctc.201000397) or homogeneous catalysts (DOI: 10.1021/acs.jpcc.8b03935) were considered. E.g. in all cases it was roughly
Delta G(*OOH) = Delta G(*OH) + 3.2
Note that this results was also confirmed by high level ab-initio calculations which are able to correctly treat the multi-reference wave function (DOI: 10.1021/acs.jpcc.8b03935).
So your results may either indicate some severe DFT problems or a bit more is happening chemically than what you expect. Now I can not give you a more detailed answer since I do not have any detailed information regarding the systems you are considering and the computations you are performing. However, from what we have seen so far, DFT problems do not push your slope into the negative if performed according to the state of the art, spin has been treated properly and the binding energies were computed correctly (please check this with someone if you feel even slightly unsure!!!). This is true for all functionals we have considered in a benchmark (DOI: 10.1021/acs.jpcc.8b03935).
Assuming everything is ok, this might make a chemical origin of your results more likely. Here, you must take into account that the typical mono-nuclear mechanism suggested in the literature is severely oversimplified and very likely does not matter too much in reality. For a detailed discussion see DOIs: 10.1016/j.nanoen.2016.04.011 10.1016/j.coelec.2018.06.007 and 10.1021/acscentsci.9b00053 . So what could happen in your case? In my experience, the most common "error" when computing *OOH is the transfer of a hydrogen to a hydrogen acceptor site (A). So you would consider the reaction
*=O + H2O + *A -> *O2 + H+ + e- + *A-H
rather than
*=O + H2= -> *-OOH + H+ + e-
This reaction may, depending on how reactive A is, affect the binding energy of *-"OOH" severely and even result in a apparently negative slope. You can spot this reaction easily by visually inspecting your converged structures. Note that, in case this indeed happened, this does not indicate an error on your side but simply highlights that the reaction proceeds through a bi-functional mechanism (see DOIs: 10.1016/j.nanoen.2016.04.011 10.1016/j.coelec.2018.06.007 and 10.1021/acscentsci.9b00053). Should you, under these conditions, want to enforce an *OOH intermediate than your only hope is to let the hydrogen point away from the acceptor group and hope that the transfer has a significant barrier or to apply some suitable constraints.
Best wishes
Michael
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It's as a simple or complicated question as follows. After we published 2001 a certain article in Electrochimica Acta (https://doi.org/10.1016/S0013-4686(01)00738-1), where we showed in our recent article (10.1016/j.electacta.2023.142458) that the charge storage process in oxides containing transition metals (TMOs) could be a physical process without restrictions due to mass transport, now with new "insights", we publish this article below where a new theoretical model for TMOs yields different equations contemplating the different electrochemical techniques (e.g., voltammetry, chrono-methods, and impedance). It was demonstrated, comparing with renowned works (e.g., Trasatti et al. - more than 1100 citations and De Levie - more than 1400 citations) that in the specific case of TMOs, widely used in Energy Storage Devices, that the proposed model in this our work allows a "complete interpretation" of the main phenomena occurring during the charge/discharge process in Supercapacitors. On the contrary, the famous models of Trasatti and De Levie completely fail in the light of the present work.
We also validated the proposed model in carbon-based materials such as Activated Carbon and Pressed Nanotubes. See our work below using Chronocoulometry and Chronoamperometry, respectively:
Link for free access from the Publisher valid for 50 days:
In addition to the published paper, I am feeling the necessity to clarify some points not considered explicitly by us of historical relevance and important consequences as is the misinterpretations of the charge-storage process in Pseudocapacitors committed by several authors. The history behind the attempt to explain the theoretical basis of the pseudocapacitance in TMO (or DSA) electrode materials has two major authors, Professor S. Trasatti and Professor B.E. Conway. To quote, Trasatti (Italy) and Conway (Canada) were two of the greatest Electrochemists of the phase called “Modern Electrochemistry” together with Delahay, Sluyters, Vetter, Parsons, Savèant, Oldham, De Levie, Lasia, Bockris, Bard, among others. However, Professor Trasatti, who proposed the Protonic Condenser model for TMOs, always insisted on an intuitive (ad hoc) method of analysis. In this way, he and his co-workers completely failed to obtain significant “quantitative simulations” for the dependence of voltammetric charge as a function of the scan rate (CV technique) by using the equation q = a + b/[root(scan rate)] and/or 1/q = c + d[root(scan rate)], that is, Trasatti et al. used the charge referring to cyclic voltammetry, even knowing that there is no way to perform the analytical integration of the Randles-Sevckic model to obtain the theoretical charge-scan rate dependency for reversible systems. The use by several authors of this model proposed in 1989 led to numerous errors in the literature. The largest of these errors culminates in the model commonly known as Dunn’s model which is used to decouple the capacitive charge contribution and its faradaic counterpart controlled by diffusion mass-transport. These last authors committed the gross error of assuming that the slope in your equation, i-total/(scan rate root) = (ic)x(scan rate root) + (if), does not vary with the electrode potential, which is impossible according to the CV theory, i.e., the so-called “current function – Xsi(pi-time)” varies for each potential/voltage value. In the case of Professor Conway’s works dealing with pseudocapacitors, he tried to explain using the impedance technique (EIS) by applying "non-blocked" equivalent circuits composed of two distinct time constants (see the models in his classic book on SCs) to include in an "ad hoc" way his classical models developed between 1960-1970 related to "pseudocapacitance adsorption" using the CV technique. Then, using the so-called "brush model", he unsuccessfully tried to explain the phenomena of an electrical double layer linked to surface roughness with cyclic voltammetry using a single time constant. On the contrary, between 2014-2017, Saveànt et al. published important articles where they proposed that capacitance and pseudocapacitance are equivalent (indistinguishable) events. However, these authors were not concerned with the "roughness/porosity” factors, thus leaving behind the aspects related to the resistances and capacitances distributed into pores/cracks. Bearing all this short history in mind, our present article published in April 2023 innovatively addressed the fundamental aspects of pseudocapacitors that were not properly, intentionally, or not, considered by several prominent authors. Finally, our article tried to unify using a simplified model the use of the different electrochemical techniques in light of a single theoretical premise. It is worth mentioning that Professor A. Lasia previously considered some fails in De Levie’s model, when applied to real electrodes containing an assembly of pores, by including the capacitance referring to the flat regions connecting the individual pores as a parallel combination (Ctotal = Cporous + Cflat). This is necessary since De Levie proposed analytical solutions for single pores.
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Dear Rana, thank you for the comments. These and other obvious issues were thoroughly discussed by me and my colleagues in a seminal paper (Energy Storage Materials - ).
The question pointed out here by me in RG is more involved since several devices, PCs and EDCLs, are frequently incorrectly interpreted in the literature.
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I plan to design a coprecipitation experiment with multiple transition metal ions (Mn2+, Fe2+, Ni2+) coprecipitated by NaOH, I want to design a more rational experiment so that these transition metal ions could precipitate simultateously at atom-scale mixing. I spent a long time searching that online but failed to find the solubility product constants of materials at different temperature, only end up with a table listing solubility product constants of materials at 25 oC. I will be very grateful if you can recommend a book containing solubility product constants of different materials at different temperature. Thank you.
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Thank you, these answers helps me a lot Carlos Araújo Queiroz Yurii V Geletii Rouvain Bension
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Can the electrochemical reactivity of gases such as O2, CO2, N2 and transition metal phthalocyanines change in distilled water or phosphate buffer (pH 7)?
When a saturated solution of each gas was reacted with a metal phthalocyanine-coated carbon electrode in each solvent, the appearance of peaks changed between PBS and distilled water.
Are there any effects of solvents?
I would like you to teach me about that. Thank you.
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Dear Arisa Ueda,
Sorry for the late reply: I just read your question. It is not just and perhaps not so much about changing reactivity as it is about changing the critical conditions of the electrochemical measurement.
It is not quite clear what kind of experiment you deal with, but mentioning “peaks” probably says about a voltammetric experiment. If so, you should bear in mind that a correct voltammetric measurement is impossible in distilled water and a supporting electrolyte is required. The aim of its use is to decrease the electric resistance and to eliminate the migration current contribution that is a current due to the movement of charged species in an electric field. This is achieved by addition of a neutral electrolyte in a large excess (1000 times or more) of the electroactive species concentration. The supporting electrolyte can also be a buffer (phosphate buffer) to maintain a required pH.
As for the solvent effect, it makes sense to talk about the nature of the non-aqueous solvent if it was used in your experiment.
Regards,
Rouvim Kadis
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Concerning MXene's structural types, I'm getting stuck. According to my knowledge, the MXene structure is classified into three categories: mono transition metal, double transition metal, and divacancy transition metal.
So, I want to know whether divacancy transition mxene is considered a sort of double transition metal or a distinct subtype of mxene.
Do "in-order" and "out-order" MXene fall under the category of Double Transition Metal MXene or Divacancy MXene?
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Generally, with MXenes you can either have one or more transition metals. For the single transition metal MXenes (which are the most common), you will have some of the well known structures. Ti3AlC2 leads to Ti3C2Tx, V4AlC3 leads to V4C3Tx, etc. These are the most simple structures.
When you have two transition metals, there are broadly two classes of structures that can be observed: Ordered or solid solution MXenes. For solid solution MXenes ( ) you will have the transition metals be randomly mixed on the MXene structure. These can be M2XTx, M3X2Tx, M4X3Tx, or M5X4Tx (interesting, M5X4Tx currently only exist as solid-solutions:
There is also a recent new class of MXenes "high entropy" which follow the sample structure, but with more than two elements.
For the ordered structures, you have generally two classes. For the in-plane ordered (or i-MXenes) they have a chemistry of the type: M'4/3M"2/3XTx. Due to the difference in atomic size between M' and M" they have ordering within the structure. This article is a nice overview and has some beautiful TEM images: Note, these structures only exist as M2XTx MXenes! For these, if you etch them with varying amounts of time, for some chemistries, you can remove M", leading to the ordered divacancy structure M4/3XTx.
The other type of ordered structures are the out of plane (also called ordered double transition metal MXenes). These have a structure like Mo2Ti2C3Tx or Mo2TiC2Tx. In these, the Mo is on the outer layer, and Ti is on the inner layer. There is little intermixing between the two. This article has some nice TEM images that show this:
This article shows the different types of MXenes (and MAX) to help you understand:
We provide a much more thorough description and list all of the known chemistries of those types.
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When we dope ZnO with Co or Fe or Ni its band gap mostly decreases, but sometimes it increases with it. What's the reason behind it?
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Actually, the Bandgap depends on a lot of factors such as the crystallinity of the host matrix, Dopants and so forth...you can follow this to get external idea..
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I try to compute the orbital energies of transition metals with ORCA. However, the output files (produced by Avogadro) allways contain only the highest occupied orbital energies (HOMO-8 and upwards) and many more unoccupied orbitals. How do I compute all occupied orbitals down to core level?
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Ok, with the help of the orca forum and manual the problem could be solved. The basis set that I used uses effective core potentials for heavy elements, where the 1s, 2s, 2p, 3s, 3p, and 3d electrons are represented by the ECP to reduce calculation time. (https://sites.google.com/site/orcainputlibrary/effective-core-potentials?pli=1)
A basis set which uses a scalar relativistic methods without ECP is needed to get all orbital energies (https://sites.google.com/site/orcainputlibrary/relativistic-approximations).
Heres the result ;)
NO OCC E(Eh) E(eV)
0 2.0000 -886.433657 -24121.0861
1 2.0000 -129.491786 -3523.6506
2 2.0000 -116.191829 -3161.7404
3 2.0000 -116.191828 -3161.7404
4 2.0000 -116.191825 -3161.7403
5 2.0000 -23.345339 -635.2590
6 2.0000 -18.957123 -515.8495
7 2.0000 -18.957122 -515.8495
8 2.0000 -18.957116 -515.8494
9 2.0000 -11.955999 -325.3393
10 2.0000 -11.955999 -325.3393
11 2.0000 -11.955995 -325.3392
12 2.0000 -11.955994 -325.3391
13 2.0000 -11.955993 -325.3391
14 2.0000 -3.119595 -84.8885
15 2.0000 -1.867708 -50.8229
16 2.0000 -1.867706 -50.8229
17 2.0000 -1.867702 -50.8228
18 2.0000 -0.134168 -3.6509
19 2.0000 -0.134167 -3.6509
20 2.0000 -0.134164 -3.6508
21 2.0000 -0.134159 -3.6507
22 2.0000 -0.134159 -3.6506
23 0.0000 -0.114588 -3.1181
24 0.0000 0.012121 0.3298
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Hello everyone. please help me
I want to know why titanium nitride(TiN) has better electrical conductivity than titanium oxide(TiO2).
Thesedays, i did some experiments about PEMFC bipolar plate.
I installed TiN coating to titanium substrate. And, interfacial contact resistance was improved.
But. I dont know why transition metal nitride (CrN, TiN etc) has good electrical conductivity.
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Good day, Ho Seong Heo!
I hope that you will find an answer on TiN conductivity phenomenon here:
Best of luck in your research!
Yours sincerely,
M. Sc. Vadym Chibrikov
Department of Microstructure and Mechanics of Biomaterials
Institute of Agrophysics, Polish Academy of Sciences
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I desire to be able to identify the position of M-N and M-O functional groups in a complex compound from an FT-IR Spectroscopy
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T. H. Al-Noor , I do not have access to ACS file you shared. If you are a member, would you mind emailing the pdf to me (hayatna.mukhni@gmail.com)?
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Dear RG community
I wonder if you could help me with a technical issue related to the activation of the methyliden =CH2 present at the isopropenyl moiety in cannabidiol molecule, so that C atom could be used as a potential ligand in a reaction with a transition metal salt as Fe, Cu, Co or V.
Could you please help me with a synthetic pathway or with scientific literature related to this kind of transformations?
In attention to your valuable answers, thank you.
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Applied Organometallic Chemistry
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To the best of our knowledge, 13 among 203 catalysts have overcome the peak power density (PPD) threshold of 1000 mW.cm-2 , which belong to the four categories i.e. Metal-Nitrogen-Carbon (M-N-C), BimetalsNitrogen-Carbon (MM-N-C), Transition metal oxides (TMO), and non-metallic catalysts (NMC). The improvement in catalyst’s porosity, surface area, conjugation of active sites, and thereby the synthesis procedures have a great effect on the ORR activity and fuel cell performance.
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To the best of our knowledge, 13 among 203 catalysts have overcome the peak power density (PPD) threshold of 1000 mW.cm-2 , which belong to the four categories i.e. Metal-Nitrogen-Carbon (M-N-C), B​i​m​e​t​a​l​
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Abeer Salim
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EXAFS is a spectroscopic technique used to investigate the structure of materials at the atomic level. It is particularly useful for studying coordination environments of transition metal atoms. EXAFS can be used to study a wide range of materials, including metals, alloys, intermetallic compounds, metal oxides, and metal-organic frameworks.
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Dear G.M.,
Thank you for your message. I see what you are saying - that the FT of a time series will not necessarily give a radial distribution function.
I had not thought of that before, but it makes sense. Thank you for the counter-example!
Best regards,
Panagiotis
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How to do sulfidation of 2D transition metals with sulfur powder?
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Thank you for you hepl. I try to di sulfidation of Mo, W and Re supported on carbon. We added S powder to catalyst powder and tried to do sulfidation in the reactor under H2/Ar flow at 400oC. But it was not as we wheshed to be complite. I asked how to organaze tehnically such sulfidation. May be in the crystalizator and in oven - static regime.? ...
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I'm working on a DFT study of the catalytic properties of transition-metal-ion-doped crystalline cellulose coating in a gas reaction. I modeled it using a complex of a cellobiose and a metal ion with the reactant gas at the pre-reaction complex. But, my supervisor said that my model was too far from the real condition and did not meaningful as the solid coating was modeled in the gas phase. How to make a better one? Do you have any literature about it? Thanks
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That's a pretty major question whenever it comes to modelling catalysts that should be "real" to whatever extent and there are several approaches to it, especially when you have a large molecule like cellulose involved:
1) Brute force DFT incl. transition states of a system with realistic sizes is probably unrealistic due to the expensiveness of the resulting calculation.
2) Embedding procedures would allow for the calculation time to shrink while keeping the result somewhat relevant, so you would still have a giant system but only the catalytically relevant system would be expensive DFT while the rest would be MM or semiempirical.
[3) Periodic boundary conditions can help, but since you wrote about crystalline cellulose, I assume you are already doing that, right?]
4) You can also calculate it for a model system which is not cellulose, but has enough resemblance in the reaction zone so you get a result which could be considered acceptable.
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To change the optical properties of a structure, I intend to use doping it with transition metals. On what basis do you think I should choose these metals? For example, if I chose Mn, what should I say about the reason for my choice?
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Thank you, dear Achmad
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Hello my friends,
I synthesized Li-rich cathode materials with different transition metal: citric acid ratios.
my question
Why does the I(003)/I(104) ratio rise as the transition metal: citric acid ratio rises? What is the ideal ratio of I (003) to I (104)?
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Which is your material? A Li rich cathode is too generic...in this field no right ratio of intensities exist, in many cases these materials could also present preferred orientation effects.
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is there any software or methods to identifying bonding~functional groups of Raman spectra
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If there are no references on your particular material, you'll have to perform a DFT calculation and a subsequent normal mode calculation [or get someone who's familiar with the method to do it].
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By definition MAX Phases are Hexagonal layered transition metal carbides and nitrides. The question is while etching MAX Phases does the Hexagonal crystal system gets disturbed to an another crystal system or remain the same? I need answer form XRD Point of view
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The MX-layers remain mostly unchanged (except for surface termination and some minor bond relaxation etc). I think their symmetry technically changes from hexagonal to trigonal, but that is related to my next point.
From a crystallographic point of view, the most important change is that the 3-dimensional translational symmetry is lost upon etching and exfoliation. Depending on the preparation method, adjacent MX-layers do not lock in to the same relative positions to each other. Instead the orientation and translation between adjacent MX-layers is (more or less) random (see turbostratic disorder). Basically, the crystallinity is lost resulting in reflections from XRD broaden or even disappearing.
You can find an example in Fig 14 of X-ray diffraction patterns of graphite and turbostratic carbon, Z.Q. Li, C.J. Lu et. al. Carbon 45, 8, 2007, p.1686-1695) shows PXRD patterns for ordered graphite and turbostratically disordered graphite.
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metal carbide and nitride specly 4 5 6 group transition metal carbides and nitride.
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Visit kindly the following useful RG link:
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Is rast camphor method is sufficient
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Dear Vivek
Use Mass Spectrometry, interpretate the data, and after that, you will get the molar mass of the desired metal complex.
Hope it helps you
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Hi all, I came across various sources of articles that discuss the activation of PMS and PDS via the use of transition metals as listed below. While some sources suggest that PMS is better while others suggest that PDS is better. I have a few questions for those that have tried these methods of activation below. I am relatively new to this form of AOP, so do excuse my ignorance.
1) Are reduced metals (ie Fe2+) better than their oxidised counterparts (Fe3+)? some articles do suggest the use of ferric ions as activators
2) what are some of the differences in terms of selectivity for the oxidation pathway of PDS vs PMS. While the review article did discuss some key factors "PMS is more effectively activated to yield SO4•– by transition metals (e.g., Co(II), CuFe2O4, Fe2O3) than PDS due to the unsymmetrical molecular structure' I would like to know if anyone did a direct comparison for such a case and are there documented papers on this?
3) Am I am able to perform this combination PMS+oxdidised form of transition metals or PDS+oxidised form of transition metals? (since there are conflicting literature that suggest that oxidsed form of activation is still possible, where most literature report only the reduced form)
4) Are there any oxidation byproducts that are of particular concern when using PMS/PDS?
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There is no such elementary chemical reaction as "the activation of PMS and PDS via the use of transition metals." PMS/PDS undergoes catalytic decomposition via intermediate formation of persulfate radical. Both reduced and oxidized forms of transition metals are involved in a catalytic cycle. The rate of PMS/PDS decomposition strongly depends on conditions.
The 1:1 mixture of PMS/PDS and reduced transition metals is not of great interest for AOP
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Hello dears,
Why in the perovskite family (BaTiO3+-), we found always a partial substitution by Fe in the site B not other transition metals like Co etc., this is can be related to the size of atoms or only related to the oxidation state of the metal?
Thanks and best regards
INES
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Robotized characterization of over 200 perovskite compositions:
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Hello,
Au does not form a good metal-oxide interface, we obviously need to insert an adhesion metal layer (Cr, Ti, etc) to make a good bonding with the substrate. I was wondering if there is any way to improve the adhesion between gold and a transition metal oxide film (SrTiO3 thin film) without an extra adhesion layer. Would thermal annealing be helpful? Or plasma cleaning of SrTiO3 surface right before Au deposition? I use electron beam evaporator for Au deposition (~30nm).
I would greatly appreciate any suggestion!
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due to noble nature of gold, it does not make bonds with the material, and some time material is also passive due to upper surface bond formation with oxide and other atoms, not pinning of gold atom is difficult...pretreatment will help but best way too bond it properly is by putting Cr in-between.
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Novel 2D MBenes: 2D transition metal borides are the very promising catalyst for electrochemical ammonia NH3 synthesis
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Dear Ali Behrad Vakylabad thank you for sharing this very interesting chemical question with the RG community. We work in organometallic chemistry, so the I'm not an expert in this field. However, for a first overview I can suggest to you the following relevant literature reference:
Novel 2D MBenes—Synthesis, Structure, and Biotechnological Potential
Fortunately this article has been posted by the authors as public full text on RG, so that you can freely download it as pdf file. Moreover, you can also contact the corresponding author directly via RG at https://www.researchgate.net/profile/Agnieszka-Jastrzebska-4.
Good luck with your research!
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I would like to know the oxidation state of a transition metal oxide nanoparticle, what is a good choice of substrate for that purpose?
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In addition to what Jürgen Weippert said, I would also check for potential overlaps of the photoelectric peaks of the substrate and the transition metal. Gold, platinum and the other noble metals have many xps peaks in almost any energy range, and the transition metal oxides show extended x-ray excited auger transitions which may overlap. Thus I feel that carbon might be the best opportunity. Best regards, Dirk
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The molecules contain Fe, B,C,H, F. The scf energies are very close to converging but they just don't converge. I tried increasing the scf cycles, changing the input geometry etc. I am using the basis set of def2tzvpd.
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Hi, I am not used to Q-Chem and RI-MP2 methods. But I have found several techniques to improve convergence on this page: https://manual.q-chem.com/5.3/sect_convergence.html
In general, it is useful to look at the last energy values of the SCF procedure. If the energy oscillates, maybe some damping is enough to favour the convergence. If the energy always decreases and does not oscillate (a pare from rare cases), maybe you should increase the maximum number of steps.
I found some details on how to deal with damping on Q-Chem here: https://manual.q-chem.com/5.3/sect_damp.html
I hope this may help
Best regards
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So far, I have made and published about 20 complexes of the Schiff Base diiminopyridine Ligands and transition metal. I am now looking to collaborate so that we can write a review article about these structures. I have 20 relevant safe files
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Dear Mehdi Khalaj congratulations on the synthesis and characterization of 20 new transition metal complexes with complexes of diiminopyridine Schiff base ligands! Unfortunately I don't have time to collaborate on this, but perhaps you don't mind few few general remarks. When making plans for a review article, please keep in mind that it should cover not only your work but also important contributions by other researchers. Also make sure that the review is timely, which means that no other review on the same topic has recently been published. Most important is a thorough literature search so that you make sure that all important articles on this topic are covered. It is also advisable to think in advance about the format and size of the review. Don't forget that there are many different types of review articles possible, such as e.g. comprehensive, critical, tutorial or annual reviews. Ideally this should be planned in advance with the editor of a suitable journal. As a typical example, please have a look at the following related review article:
Bis(imino)pyridines: Surprisingly Reactive Ligands and a Gateway to New Families of Catalysts
Unfortunately this article has not been posted as public full text on RG. Thus please check if you can access it through your institution.
Good luck with your work and best wishes, Frank Edelmann
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Hello, I am interested to study the diffusion coefficient of the flow of the transition metals through Ar gas using Molecular Dynamics. I would like to know which software is more suitable for this modeling? Thank you in advance.
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Dear Sara Ghomi as a synthetic inorganic chemist I'm unfortunately not a specialist in theoretical chemistry enough to give you a qualified answer to your interesting question. Thus all I can do right now is suggest to you some potentially useful literature references. Please gave a look e.g. at the following relevant articles:
Optimal estimates of self-diffusion coefficients from molecular dynamics simulations and
Ti adatom diffusion on TiN(001): Ab initio and classical molecular dynamics simulations
(please see the attached pdf file)
It might also be worth a try to search the "Publications" section of RG directly for helpful papers.
Good luck with your work and best wishes, Frank Edelmann
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I am trying to assess the potential for a set of small molecules to bind to transition metals (Cu2+, Zn2+, Fe2+, etc.), and am wondering if there is an established protocol for assessing binding constants.
One of the closer examples I have is the following paper (https://pubs.rsc.org/en/content/articlepdf/2006/cc/b611031b), in which the researchers test the absorbance spectra of a small molecule probe against ATP using a standard spectrophotometer. Would I then construct a concentration-response curve from a selected wavelength that shifts with a titration of metal?
I appreciate any and all help! Why is it that Beer's Law is popping in my head?
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If there is a change in the absorbance spectrum when the metal binds to the small molecule, you can use that to measure the affinity.
You should be careful to keep the pH constant, since some metal solutions can affect the pH.
When keeping the small molecule concentration constant and titrating the metal, you should subtract the spectrum of the metal alone from the spectrum of the mixture at each metal concentration. Better still, if possible choose a wavelength to monitor at which the metal has no absorbance.
Make sure all the absorbances are in the linear range of the spectrophotometer.
The concentration of the small molecule being monitored should be well below the Kd of the complex in order to get a good fit of the data to a Langmuir isotherm, which assumes that the free and total concentrations of the binding partner are essentially equal.
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I have used the linear responce method to calculate Hubbard's U in VASP as indicated by VASP tutorals in their website. I give the url:
However my system is a zeolite and the transition metals I work with are not located in equivalent locations. One that has worked with zeolites knows that we identify various sites when we are are talking about metals in zeolites.
What I have not found in the bibliography and seems intimidating is to work with, is implementation of different values of U for the same kind of atoms in the system.
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I'm trying to figure out the origin shake up satellite features that are seen in transition metal oxides. From what I understand the shake up features originate when the ejected core electron excites a valance electron and the KE of of the core electron reduces as a result of the excitation. I found the following in "Core Level Spectroscopy" by DeGroot; "The satellite was first considered to be caused by the shake-up transition between the metal 3d and 4s orbitals, but it is now well established that it originates from the charge transfer between the ligand 2p and metal 3d orbitals. I'm a bit confused on connecting the definition of a shake-up feature with what is said by DeGroot. Does it mean the electrons that are shared by the ligand 2p and 3d gets excited by the ejected core electron that give rise to the shake-up satellite? And can we assume that one reason to see shake-up satellite peaks in 3p energy range are the shared electrons between 3p and 3d orbitals?
Thanks in advance!
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Essentially you need a state to which the electron can "go" under obedience of a quantum mechanical selection rule. I do not know the exact excitation going on in CuO, but I can explain it by carbon since that's what I work with. In sp2 carbon (graphitic) you have a pi-electron system in which an electron can be excited to the pi* band, therefore you will observe a pi-plasmon-shakeup in the XPS of graphitic carbon. sp3 carbon, as in diamond, does not have these pi bands and therefore a shakeup will not be observed.
In CuO, you will probably have some crystal field splitting (https://en.wikipedia.org/wiki/Crystal_field_theory) which generates a shake-up-excitable pair of states in the valence band. Maybe there is a publication that specifies it, but that would require digging from my side as well...
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While I understand the core electron binding energy of an element (XPS), e.g. Cr, will increase if some of its valance electrons participate in bonding formation, however, I am not sure about the followings:
(1) Whether there is any correlation between core electron binding energy and bond strength, say for a certain type of bond, the higher core electron binding energy indicates stronger bond and vice versa? Or, no such correlation? For example, in transition metal carbides or nitrides, Cr23C6, CrN etc.
(2) Or, is the electron binding energy only impacted by the number of valence electrons participating in bonding formation (outer shell electrons deviating from the nucleus, thus the nucleus will have a higher attraction towards the core electron)?
Aside questions:
(1) What're the experimental methods of evaluating a bond strength or bond energy, say, between Cr and nitrogen in different species of chromium nitrides?
(2) Is the bonding energy the same as the bond dissociation energy? Can the bond strength (energy) be presumably induced from the melting points or hardness values of compounds, e.g carbides and nitrides?
Thanks!
Zhe
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Hello Zhe,
the core electrons are hardly influenced by bonding. The main influence can be detected for valence electrons. This can be maesured by different methods. A very sensitive method is the PES (Photo Electron Spectrometry). Here, the whole band structure of materials can be found.
I myself conducted XAS (X-ray absorption spectroscopy). Let me give an example for copper. Pure copper has 29 electrons, therein one 4s-electron. All d-states are occupied. In pure copper no excitation from a core state into a 3s-state can be found. In CuO, the 4s and a 3d state is empty - these electrons fill the oxygen shell. Now you find a transition from core state (2p) - what is a good reference energy - into a 3d-state. The oxygen spectrum (1s into 2p is changed compared to pure oxygen.
If you investigate CuO2 states (Cu-O-planes in superconductors), the copper lines 2p into 3d are very strong and shifted with respect to Cu in CuO. The same is valid for oxygen.
The differences in the line positions are due to the change of energies in the valence states.
With Regard
R. Mitdank
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I’m looking for software that can predict kinetics of transition metals oxidation at low temperatures.
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Thanks so much Prof. @Yurii Geletii
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I intend to calculate the transition state energies for methane pyrolysis reaction over a transition metal (catalyst) using Quantum Espresso for the DFT calculations. I am looking for any comprehensive resource that could help me in this task. Kindly help out with a suggestion or two. Thanks
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Did you find out how to do it?
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Dear RG,
I want to work on a metal complex consisting of two transition metals and a bridging ligand maybe Phenanthroline. I will be very happy if RG will help me with links, materials, and video/lectures to carry on this research.
Thank you in advance.
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Dear Emmanuel Israel Edache many thanks for posting this interesting technical question on RG. I absolutely don't want to discourage you, but I think your planned research project should be much more specific. Dinuclear transition metal complexes with bridging ligands have already been prepared by the famous inorganic chemist Alfred Werner in the 19th century, and by now a huge variety of ten thousands (maybe more) of such complexes have been reported in the chemical literature. Thus it would be not terribly innovative to make new complexes with two transition metals and a bridging ligand. Moreover, phenanthroline is absolutely unsuited as a bridging ligand in binuclear complexes as it is one of the prototypes of chelating ligands (i.e. it forms only mononuclear transition metal complexes).
Thus I strongly suggest that you take some time to read current literature in this field to get some idea of what's going on in coordination chemistry right now. Then you should also think about what the complexes could be good for (MOFs, catalysis, luminescence etc.). Your work would certainly be more valuable when your new metal complexes had potential practical applications.
For more information I also strongly suggest that you search the "Publications" section of RG for terms matching your question. This will provide you with a large number of helpful references, many them being available as public full texts.
Moreover, you should discuss your plan with your supervisor or other senior faculty members at your institution. Their advice will certainly be helpful as well.
Good luck with your project and best wishes, Frank Edelmann
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What are the transition metal dopants that can be used for a QDSSC? What are the quality to select a transition metal dopant in QDSSC?
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Dear Sajid, many thanks for asking this very interesting and important technical question. To my knowledge, mainly manganese (Mn) and cobalt (Co) have been used as dopants in quantum dot sensitized solar cells (QDSSCs). According to the article cited below, transition metal dopants are applied to improve the current density and energy conversion of QDSSCs:
The Influence of Dopant Concentration on Optical-Electrical Features of Quantum Dot-Sensitized Solar Cell
This article has been published Open Access and is freely available as public full text (see attached pdf file)
For the use of manganese as dopant, please also have a look at the following potentially useful research articles:
Giant photocurrent enhancement by transition metal doping in quantum dot sensitized solar cells
and
Mn-Doped Quantum Dot Sensitized Solar Cells: A Strategy to Boost
Efficiency over 5%
Here it is stated e.g. that "the transition metal dopants in QDs have the potential to introduce impurity states in the band gap and enhance absorption."
The first paper has been posted by the authors as public full text on RG so that you can freely download it as pdf file. Unfortunately this is not true for the second paper. However, both authors have RG profiles so that there is a good chance that you can request the full text directly from the authors via RG.
I hope that these references are useful for you. Good luck with your research and best wishes, Frank Edelmann
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Hello everyone!
I am looking for a way to analyze the interaction of a gas with the adsorption site of a solid.
SAPT seems very attractive for non-covalent interactions but when the adsorption site contains a transition metal, covalent phenomena may occur.
So is there any reliable method that can account for covalent bonding?
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You should mention adsorbate and adsorbent -
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Oxygen oxidation is very essential at high voltage (>4.5 V) to improve the charge/discharge capacity in Li-rich cathode batteries. By oxyanion oxidation, oxygen release will happen and Li+ and O2- vacancies are occupied by transition metals especially Mn2+, which decrease the Li+ ion diffusion back.
I need to suppress the oxygen release in Li-rich cathode oxide. How can I do to increase the M-O binding energy to decrease the oxygen release?
Thanks
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Dear Majid, thank you for posting this very interesting technical question. As a synthetic chemist working in the field of organolanthanide chemistry I'm certainly not a proven expert enough to give you a qualified answer. However, I just came across some potentially useful references which might help you in your analysis. Please have a look at the following articles entitled:
Suppressing Surface Lattice Oxygen Release of Li-Rich Cathode Materials via Heterostructured Spinel Li 4 Mn 5 O 12 Coating
and
Surface reinforcement doping to suppress oxygen release of Li-rich layered oxides
Unfortunately these articles have not yet been posted by the authors as public full texts on RG. However, there is always the possibility to request a full text directly from the authors. Also please check if they are perhaps available through your institution. I hope this helps.
Good luck with your research and best wishes!
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What is so special about metallic Pd that it can absorb around 900 times its own volumes of hydrogen? I was searching articles, but I couldn't find an answer to this question. All researchers say that Pd is called a "hydrogen sponge", it forms alpha and beta-hydride depending on hydrogen pressure and concentration, that PdHx is a p-type semiconductor, alloying Ag and Pd could further increase the hydrogen absorption, etc. It is a statement of facts rather than an explanation. Other transition metals also form hydrides - Pt, Ni, Ag, etc. But what makes Pd so special? Maybe this happens due to Pd's electronic configuration, or its crystal lattice, electron affinity, or a combination of different factors?
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Dear Oleksandr,
This property of palladium is apparently explained by the electronic structure of this atom. On the outer layer of this atom, unlike Pt and other elements, there are no outer electrons, the s and p orbitals are empty, so it has many easily accessible vacancies for the introduction of hydrogen atoms. Pd absorbs hydrogen in a volume ratio of 1: 900. This property of Pd is widely used as a catalyst, for example, in the synthesis of hydrogen halides.
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I am looking forward to synthesis various hexacyanometallates, hexacyano -manganates, -cobaltates and -chromates in particular. What would be the options? I have hexacyanoferrates, but do not have sodium/potassium cyanides, and there is no option of purchasing any cyanide salt.
Whould you please, suggest, if it is possible, other way of sythesising Prussian blue salts with various transition metals.
Thanks!
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P.S. Dear Olzhas, concerning the preparation of the hexacyanometallate precursors of manganese, chromium, and cobalt etc. I'm afraid that you always need to start with sodium or potassium cyanide. To the best of my knowledge there is no other way to introduce the cyanide ligands. As a typical preparation please have a look at the attached description of the synthesis of potassium hexacyanochromate, K3[Cr(CN)6]. Thus in your case the only way to prepare Prussian blue analogs is to combine your hexacyanoferrates with complex cations that have no cyanide ligands. Good luck with your research! 👍
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Metal oxide nanoparticles are being used as nanofertilizers. Which one is effective in transition metal oxides?
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Dear Jamil, thank you for asking this interesting technical question. Personally I'm not a proven specialist in the field of nanomaterials. According to the article entitled "Green Synthesis of Nanofertilizers and Their Application as a Foliar for Cucurbita pepo L" which has been published Open Access, mainly nanoparticles of manganese, iron, and zinc have been investigated as "nanofertilizers". The term "nanofertilizers" sounds great and makes a good Introduction to a research manuscript. However, like Alan F Rawle I'm rather skeptical if this concept will ever be marketed on a large scale. I can hardly imagine tousands of tons of "nanofertilizers" being manufactured at high costs indstead of using well-established soluble commercial fertilizers. Thus my suggestion would also to be critical about "buzzwords" like nanofertilizers.
Good luck with your research and best wishes!
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Dear colleagues,
I am studying half-metal ferromagnetic bulk material. So by definition half-metal means presence of a band-gap for minority (spin-down) states. Both VASP and Quantum espresso (plane-wave DFT packages) reproduce perfectly half-metallic DOS with a band-gap at the Fermi level (E-Ef = 0 eV).
While in the case of Siesta the DOS shape is nicely preserved BUT it's systematically shifted to the right at ~ 0.5 eV. As a result, no band gap at the Efermi, see the figure attached.
Shortly it means that Siesta doesn't allow to consider my bulk as half-metal in contrast to e.g. VASP and QE.
So why Siesta tends to shift half-metallic DOS?
Maybe it's some technical artefact (some equation in the Siesta code) cased by half-metallicity and, therefore, wrong evaluation of equilibrium Fermi level when spin-up states are presented and spin-down are not.
Maybe the reason is that VASP and QE are plane-wave packages while Siesta employs atomic orbitals as a basis set. But can it explain my problem?
Some obvious things I tried to check:
- Use LDA/GGA and other functionals
- Change k-points/cutoff
- Change basis (SZP, DZP, etc.)
- Implement +U (for the transition metal Co and Fe atoms but it only broadens Eg to the right)
- Change smearing
In all these cases Siesta DOS is shifted ~0.5 eV to the right in comparison with VASP & QE. And I have no idea what to do...
I would highly appreciate any suggestions or advices. Thank you!
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Dear
Alrik Stegmaier
Thank you a lot for the comprehensive answer.
I fully agree that there are differences in the valence states if we compare all three DOSs peak-by-peak. Basically, I put all of them together only to show that some 2 packages put Egap to the Fermi level, while Siesta has a shift.
So, if we forget about VASP and QE, and think only about Siesta: if there are some reasons why Siesta may has a shift of Fermi level.
If I got it right, your basic opinion that it's might be possible to shift Egap towards zero if I play more with parameters (e.g. basis set) in Siesta? And you did not hear or meet any intrinsic problem in Siesta that prohibit true description of half-metals?
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Hi folks,
Currently running some convergence tests for magneto-crystalline anisotropy energy (MAE) of Fe (e.g. E_111 vs E_110 vs E_001).
As you know calculating MAE requires very strict convergence criteria as the relative energies can be on the order of 1 µeV, and can require k-points on the order of 10,000 or more.
However, the calculation is also dependent on the smearing width, which has a non-negligible influence on the # of k-points required for convergence, and smaller smearing requires higher k-points.
I am currently using VASP with the tetrahedron method with Blöchl corrections (ISMEAR = -5), with 0.01 eV smearing, and I find that 10k k-points is not enough to reach convergance (it has reached only ~ <2 ueV).
Before continuing with a higher k-point density I would like to get some input if 0.01 eV is appropriate, or if raising the value to 0.1 eV, while it may help convergance at smaller k-point mesh size, would impact the accuracy of the MAE energy? At 0.01 eV smearing and 10-kpoints, the relative anisotropy E_111 > E_110 > E_001 of Fe is correctly predicted, but I don't know how accurate the magnitude would change with smearing, or if perhaps I should try even smaller smearing widths.
Thanks in advance,
-B
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Tetrahedron method with Blöchl corrections (ISMEAR=-5) doesn't require empirical parameters such a SIGMA...
"For the calculations of the DOS and very accurate total energy calculations (no relaxation in metals) use the tetrahedron method (ISMEAR=-5)." https://www.vasp.at/wiki/index.php/ISMEAR
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Any suggestions on selection of suitable insulating substrate, matching lattice parameters for graphene synthesis, as an alternative to usual transition metal substrates (e.g., copper, nickel etc.).
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Hello ... May this research be useful to you ... Greetings
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My interest is the magnetic properties of these systems, using ORCA software under Linux environment.
thank for all.
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Dear Ali Almansori thank you for your interesting technical question. Although we are inorganic chemists, I'm absolutely not a proven expert in this field. Thus all I can do is suggest to you a few potentially useful articles which might help you in your analysis. In this context please have a look at the following relevant papers:
1. Theory of Magnetic Transition Metal Nanoclusters on Surfaces
2. Structural and electronic properties of transition metal nanoalloys and magnetic compounds
3. Ab initio study of free and deposited transition metal clusters
All three studies are entire PhD theses about the topic which can be freely downloaded as public full text. For some general information about the ORCA program package please see the following useful articles:
The ORCA quantum chemistry program package
and
Introduction to the ORCA Program System