Running Mbj potentail problem in dft wien2k sofware

In summary, the conversation discusses the potential issues that may arise when using the DFT Wien2k software for calculations involving the modified Becke-Johnson (MBJ) potential. The MBJ potential is designed to improve the accuracy of DFT calculations, but it can cause problems such as errors or convergence issues in the software. Other potential causes of MBJ problems in Wien2k include incorrect input parameters, inadequate convergence criteria, and issues with the material's structure. Troubleshooting steps include checking input parameters and consulting with other researchers or software developers. Additionally, alternative methods for improving DFT calculations, such as hybrid functionals and GW calculations, are mentioned and it is important to carefully consider their strengths and limitations before selecting one for calculations
  • #1
Erum asadi
7
0
i am runnig mbj calculation using wien2k as mentioned in user guide but can't be able to successful run,ambiguity in scf's so can anyone please guide me clear steps for mbj calculation. and modifications
 
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  • #2
in input file.Unfortunately, we are unable to provide clear steps for MBJ calculations in Wien2k, as this is a complex process that requires expertise in the software. We recommend consulting with an expert in the field or reaching out to the Wien2K user group for additional assistance. Additionally, the Wien2K manual provides detailed instructions on how to run MBJ calculations.
 

Related to Running Mbj potentail problem in dft wien2k sofware

1. What is a "Running Mbj potential problem" in DFT Wien2k software?

A "Running Mbj potential problem" refers to an issue that may occur when using the DFT Wien2k software to perform calculations with the modified Becke-Johnson (MBJ) potential. This potential is often used to improve the accuracy of density functional theory (DFT) calculations, but it can sometimes cause errors or convergence problems in the software.

2. How does the MBJ potential affect DFT calculations?

The MBJ potential is designed to correct for some of the limitations of standard DFT functionals, such as the tendency to underestimate band gaps and overestimate bond lengths. It has been shown to improve the accuracy of DFT calculations for a variety of materials, particularly those with large band gaps or strong correlations between electrons.

3. What are some common causes of MBJ potential problems in Wien2k?

There are several potential causes of MBJ problems in Wien2k, including incorrect input parameters, inadequate convergence criteria, and incompatible basis sets. Issues with the structure of the material being studied, such as incorrect symmetry or too many electrons, can also lead to problems when using the MBJ potential.

4. How can I troubleshoot MBJ potential problems in Wien2k?

If you encounter issues when running MBJ calculations in Wien2k, the first step is to carefully check your input parameters and convergence criteria to ensure they are appropriate for your system. You may also want to try using different basis sets or adjusting the symmetry of your material. If these steps do not resolve the problem, it may be necessary to consult with other researchers or the software developers for further assistance.

5. Are there any alternative methods for improving DFT calculations besides the MBJ potential?

Yes, there are several alternative methods that have been developed to improve the accuracy of DFT calculations, such as hybrid functionals, meta-GGA functionals, and GW calculations. Each of these methods has its own advantages and limitations, and the best approach will depend on the specific properties of the material being studied. It is important to carefully consider the strengths and weaknesses of each method before selecting one for your calculations.

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