Assessing Exchange-Correlation Functionals for Accurate Densities of Solids
Author Information
Author(s): Aouina Ayoub, Borlido Pedro, Marques Miguel A. L., Botti Silvana
Primary Institution: Research Center Future Energy Materials and Systems of the University Alliance Ruhr and Interdisciplinary Centre for Advanced Materials Simulation, Ruhr University Bochum
Hypothesis
The study aims to compare the performance of various exchange-correlation functionals in predicting the electronic densities and energies of solids.
Conclusion
The analysis revealed that several hybrid and semilocal functionals perform consistently well in predicting both densities and energies of solids.
Supporting Evidence
- Functionals built to reproduce exact constraints tend to be among the top performers for all tested material classes.
- On average, functionals published up to the early 2000s improve the prediction of both densities and energies.
- Errors in energy and density continue to evolve in a correlated manner.
Takeaway
This study looked at different methods to predict how materials behave at the atomic level and found some methods work better than others.
Methodology
The study compared the densities produced by 98 DFT functionals against nearly exact quantum Monte Carlo results for three solids: silicon, sodium chloride, and copper.
Limitations
The study primarily focuses on three specific materials and may not generalize to all solids.
Digital Object Identifier (DOI)
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