An Unconditionally Energy-Stable and Orthonormality-Preserving Iterative Scheme for the Kohn-Sham Gradient Flow Based Model
Xiuping Wang, Huangxin Chen, Jisheng Kou, Shuyu Sun

TL;DR
This paper introduces an unconditionally energy-stable, orthonormality-preserving iterative scheme for the Kohn-Sham gradient flow model, enabling larger time steps and reducing iterations in electronic structure calculations.
Contribution
It presents a novel component-wise splitting iterative scheme that guarantees energy stability and orthonormality preservation for the Kohn-Sham model, with rigorous proofs and practical efficiency.
Findings
Scheme preserves orthogonality and normalization.
Unconditional energy stability proven mathematically.
Significant reduction in iteration count in numerical tests.
Abstract
We propose an unconditionally energy-stable, orthonormality-preserving, component-wise splitting iterative scheme for the Kohn-Sham gradient flow based model in the electronic structure calculation. We first study the scheme discretized in time but still continuous in space. The component-wise splitting iterative scheme changes one wave function at a time, similar to the Gauss-Seidel iteration for solving a linear equation system. Rigorous mathematical derivations are presented to show our proposed scheme indeed satisfies the desired properties. We then study the fully-discretized scheme, where the space is further approximated by a conforming finite element subspace. For the fully-discretized scheme, not only the preservation of orthogonality and normalization (together we called orthonormalization) can be quickly shown using the same idea as for the semi-discretized scheme, but also…
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Taxonomy
TopicsPhysics of Superconductivity and Magnetism · Advanced Condensed Matter Physics · Magnetic and transport properties of perovskites and related materials
