Adaptive regularized self-consistent field iteration with exact hessian for electronic structure calculation
Document Type
Article
Publication Date
1-1-2013
Abstract
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. © 2013 Society for Industrial and Applied Mathematics.
Publication Source (Journal or Book title)
SIAM Journal on Scientific Computing
First Page
A1299
Last Page
A1324
Recommended Citation
Wen, Z., Milzarek, A., Ulbrich, M., & Zhang, H. (2013). Adaptive regularized self-consistent field iteration with exact hessian for electronic structure calculation. SIAM Journal on Scientific Computing, 35 (3), A1299-A1324. https://doi.org/10.1137/120894385