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Improving the exchange and correlation potential in density-functional approximations through constraints
Timothy J Callow1, Benjamin J Pearce, Tom Pitts
1Department of Physics, Durham University, South Road, Durham, DH1 3LE, UK. timothy.callow@durham.ac.uk b.j.pearce@durham.ac.uk tom.pitts@durham.ac.uk matthew.j.hodgson@durham.ac.uk nikitas.gidopoulos@durham.ac.uk.
We developed a robust method to optimize the effective Kohn-Sham (KS) potential in density-functional approximations. This approach corrects potential behavior and enables accurate prediction of band-gaps in solids.
Area of Science:
- Computational Chemistry
- Quantum Mechanics
- Materials Science
Background:
- Density-functional approximations (DFAs) are crucial for electronic structure calculations.
- Accurate prediction of electronic band-gaps in solids is a significant challenge for semi-local DFAs.
- The exact Kohn-Sham (KS) potential exhibits properties like derivative discontinuity that are difficult to capture.
Purpose of the Study:
- To review and expand on imposing constraints on the effective KS potential.
- To demonstrate the numerical robustness of the optimized effective potential (OEP) equations.
- To show that constrained OEP can improve the accuracy of DFAs for solid-state properties.
Main Methods:
- Constraining the minimization of approximate total energy density-functionals.
- Solving the resulting optimized effective potential (OEP) equations.
- Applying constraints to the 'screening charge' corresponding to the Hartree, exchange, and correlation potential.
Main Results:
- The OEP equations are numerically robust despite known mathematical issues with finite basis sets.
- Constraining the screening charge corrects the asymptotic behavior of the KS potential.
- The constrained KS potential exhibits a non-zero derivative discontinuity.
Conclusions:
- Constrained OEP provides a viable route to improve DFAs.
- This method accurately captures essential features of the exact KS potential.
- The approach is promising for accurate band-gap prediction in solids.
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