Improved Self-consistent Field Iteration for Kohn–Sham Density Functional Theory

Fei Xu, Qiumei Huang
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Abstract

Multiscale Modeling &Simulation, Volume 22, Issue 1, Page 142-154, March 2024.
Abstract. In this article, an improved self-consistent field iteration scheme is introduced. The proposed method has essential applications in Kohn–Sham density functional theory and relies on an extrapolation scheme and the least squares method. Moreover, the proposed solution is easy to implement and can accelerate the convergence of self-consistent field iteration. The main idea is to fit out a polynomial based on the errors of the derived approximate solutions and then extrapolate the errors into zero to obtain a new approximation. The developed scheme can be applied not only to the Kohn–Sham density functional theory but also to accelerate the self-consistent field iterations of other nonlinear equations. Some numerical results for the Kohn–Sham equation and general nonlinear equations are presented to validate the efficiency of the new method.
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改进的科恩-沙姆密度泛函理论自洽场迭代法
多尺度建模与仿真》,第 22 卷第 1 期,第 142-154 页,2024 年 3 月。 摘要本文介绍了一种改进的自洽场迭代方案。该方法主要应用于 Kohn-Sham 密度泛函理论,并依赖于外推法和最小二乘法。此外,所提方案易于实现,并能加速自洽场迭代的收敛。其主要思路是根据得出的近似解的误差拟合出一个多项式,然后将误差外推为零,从而得到一个新的近似解。所开发的方案不仅可用于 Kohn-Sham 密度泛函理论,还可用于加速其他非线性方程的自洽场迭代。本文给出了 Kohn-Sham 方程和一般非线性方程的一些数值结果,以验证新方法的效率。
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