Computing the Self-Consistent Field in Kohn-Sham Density Functional Theory
Abstract
A new framework is presented for evaluating the performance of self-consistent field methods in Kohn-Sham density functional theory. The aims of this work are two-fold. First, we explore the properties of Kohn-Sham density functional theory as it pertains to the convergence of self-consistent field iterations. Sources of inefficiencies and instabilities are identified, and methods to mitigate these difficulties are discussed. Second, we introduce a framework to assess the relative utility of algorithms in the present context, comprising a representative benchmark suite of over fifty Kohn-Sham simulation inputs, the \textsc{scf}- suite. This provides a new tool to develop, evaluate and compare new algorithms in a fair, well-defined and transparent manner.
Cite
@article{arxiv.1905.02332,
title = {Computing the Self-Consistent Field in Kohn-Sham Density Functional Theory},
author = {Nick Woods and Phil Hasnip and Mike Payne},
journal= {arXiv preprint arXiv:1905.02332},
year = {2019}
}