IMPROVED SELF-CONSISTENT FIELD ITERATION FOR KOHN--SHAM DENSITY FUNCTIONAL THEORY\ast

被引:1
|
作者
Xu, Fei [1 ]
Huang, Qiumei [1 ]
机构
[1] Beijing Univ Technol, Beijing Inst Sci & Engn Comp, Fac Sci, Beijing 100124, Peoples R China
来源
MULTISCALE MODELING & SIMULATION | 2024年 / 22卷 / 01期
基金
中国国家自然科学基金;
关键词
acceleration; self -consistent field iteration; Kohn --Sham density functional theory; CONVERGENCE;
D O I
10.1137/23M1558215
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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.
引用
收藏
页码:142 / 154
页数:13
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