Revisiting Artifacts of Kohn-Sham Density Functionals for Biosimulation
Samuel A. Slattery, Jaden C. Yon, Edward F. Valeev

TL;DR
This paper investigates the unphysical charge delocalization caused by self-interaction errors in Kohn-Sham density functionals during biosimulation, revealing its causes, effects, and potential mitigation strategies with advanced functionals and solution techniques.
Contribution
It provides a detailed analysis of charge delocalization artifacts in Kohn-Sham DFT for proteins and explores solutions using range-separated hybrid functionals and specialized SCF algorithms.
Findings
Unphysical charge delocalization leads to vanishing HOMO-LUMO gaps and SCF convergence issues.
Range-separated hybrid functionals can partially reduce charge delocalization.
Stable solutions without unphysical delocalization are possible but often have non-Aufbau configurations.
Abstract
We revisit the problem of unphysical charge density delocalization/fractionalization induced by the self-interaction error of common approximate Kohn-Sham Density Functional Theory functionals on simulation of small to medium-size proteins in vacuum. Aside from producing unphysical electron densities and total energies, the vanishing of the HOMO-LUMO gap associated with the unphysical charge delocalization leads to an unphysical low-energy spectrum and catastrophic failure of most popular solvers for the Kohn-Sham (KS) self-consistent field (SCF) problem. We apply a robust quasi-Newton SCF solver [Phys. Chem. Chem. Phys. 26, 6557 (2024)] to obtain solutions for some of these difficult cases. The anatomy of the charge delocalization is revealed by the natural deformation orbitals obtained from the density matrix difference between the Hartree-Fock and KS solutions; the charge…
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Taxonomy
TopicsProtist diversity and phylogeny · Advanced Mathematical Modeling in Engineering
