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IMPROVED SELF-CONSISTENT FIELD ITERATION FOR KOHN--SHAM DENSITY FUNCTIONAL THEORY
被引:1
作者:
Xu, Fei
[1
]
Huang, Qiumei
[1
]
机构:
[1] Beijing Univ Technol, Fac Sci, Beijing Inst Sci & Engn Comp, Beijing 100124, Peoples R China
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.
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页码:142 / 154
页数:13
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