ADAPTIVE REGULARIZED SELF-CONSISTENT FIELD ITERATION WITH EXACT HESSIAN FOR ELECTRONIC STRUCTURE CALCULATION

被引:18
|
作者
Wen, Zaiwen [1 ,2 ]
Milzarek, Andre [3 ]
Ulbrich, Michael [3 ]
Zhang, Hongchao [4 ,5 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Math, MOE LSC, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, Inst Nat Sci, Shanghai, Peoples R China
[3] Tech Univ Munich, Dept Math, Chair Math Optimizat, D-85747 Garching, Germany
[4] Louisiana State Univ, Dept Math, Baton Rouge, LA 70803 USA
[5] Louisiana State Univ, Ctr Computat & Technol, Baton Rouge, LA 70803 USA
基金
美国国家科学基金会; 奥地利科学基金会;
关键词
density functional theory; Kohn-Sham total energy minimization; orthogonality constraints; regularized SCF; trust-region methods; TOTAL-ENERGY CALCULATIONS; TRUST-REGION METHODS; MOLECULAR-DYNAMICS; HARTREE-FOCK; OPTIMIZATION; MINIMIZATION; FUNCTIONALS; COMPLEXITY; ALGORITHM; SEARCH;
D O I
10.1137/120894385
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The self-consistent field (SCF) iteration has been used ubiquitously for solving the Kohn-Sham (KS) equation or the minimization of the KS total energy functional with respect to orthogonality constraints in electronic structure calculations. Although SCF with heuristics such as charge mixing often works remarkably well on many problems, it is well known that its convergence can be unpredictable and there is no general theoretical analysis on its performance. We regularize the SCF iteration and establish rigorous global convergence to the first-order optimality conditions. The Hessian of the total energy functional is further exploited. By adding the part of the Hessian which is not considered in SCF, our methods can always achieve a highly accurate solution on problems for which SCF fails and exhibit a better convergence rate than SCF in the KSSOLV toolbox under the MATLAB environment.
引用
收藏
页码:A1299 / A1324
页数:26
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