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Published on: May 27, 2020
Self-interaction-corrected Kohn-Sham effective potentials using the density-consistent effective potential method
Carlos M Diaz1, Luis Basurto1, Santosh Adhikari2
1Department of Physics, University of Texas at El Paso, El Paso, Texas 79968, USA.
Self-interaction errors in density functional theory often lead to underestimating ionization energies. This study introduces a corrected method to accurately predict electronic structures and photoelectron spectra for molecules and polyacenes.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Materials Science
Background:
- Density functional theory (DFT) and beyond-DFT methods are crucial for understanding molecular and solid electronic structures.
- Kohn-Sham eigenvalues, except for the highest occupied orbital, do not directly represent electron removal energies.
- Approximate density functionals suffer from self-interaction (SI) errors, causing underestimation of ionization energies.
Purpose of the Study:
- To implement and adapt the density-consistent effective potential method for accurate electronic structure calculations.
- To correct self-interaction errors in density functional approximations.
- To improve the prediction of photoelectron spectra and HOMO-LUMO gaps.
Main Methods:
- Adaptation and implementation of the density-consistent effective potential method.
- Utilizing the Fermi-Löwdin orbital self-interaction correction scheme.
- Calculation of SI-corrected local effective potentials, Fermi-Löwdin orbitals, and density.
Main Results:
- Accurate calculation of density of states (photoelectron spectra) and HOMO-LUMO gaps for molecules and polyacenes.
- Demonstrated good agreement between calculated and experimental values.
- Showcased superior performance compared to SI uncorrected density functional approximations.
Conclusions:
- The implemented method effectively corrects self-interaction errors in DFT.
- This approach provides a more accurate prediction of electronic properties, including ionization energies and spectra.
- The findings offer a valuable tool for computational studies in chemistry and materials science.
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