Stable, Fast, and Accurate Kohn-Sham Inversion in Gaussian Basis for Open Shell Molecular and Condensed Phase Systems via Density Matrix Penalization
Ziwei Chai, Sandra Luber

TL;DR
This paper introduces a Gaussian basis density matrix penalization method for stable, fast, and accurate Kohn-Sham potential inversion, improving upon traditional approaches especially for open shell and condensed phase systems.
Contribution
The authors develop a novel density matrix penalization approach within Gaussian basis sets that enhances the stability and accuracy of Kohn-Sham inversion, outperforming existing methods like ZMP.
Findings
Achieves smaller density deviations than ZMP
Remains robust and efficient across various systems
Provides a fast, accurate inversion method for Gaussian basis sets
Abstract
Here we present a density matrix based KS inversion method formulated entirely within a Gaussian basis representation to optimize a KS potential matrix that reproduces a target electron density. Inverse Kohn-Sham (KS) density functional theory (DFT) aims to determine the effective local KS potential that reproduces a target electron density, and is important both for electronic structure analysis and for the development of orbital based correction methods. In finite Gaussian basis implementations, however, conventional inverse KS-DFT approaches such as the Zhao-Morrison-Parr (ZMP) method often become poorly constrained and inefficient, because the real space penalty potential is projected onto a limited number of Gaussian basis matrix elements, which can strongly coarse-grain its spatial variation. In the present method, the density matrix mismatch is defined in a Lowdin orthogonalized…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Machine Learning in Materials Science · Spectroscopy and Quantum Chemical Studies
