Published January 20, 2010 | Version v1
Journal article

Accelerated Block Preconditioned Gradient method for large scale wave functions calculations in Density Functional Theory

  • 1. Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, CA 94551 (United States)

Description

An Accelerated Block Preconditioned Gradient (ABPG) method is proposed to solve electronic structure problems in Density Functional Theory. This iterative algorithm is designed to solve directly the non-linear Kohn-Sham equations for accurate discretization schemes involving a large number of degrees of freedom. It makes use of an acceleration scheme similar to what is known as RMM-DIIS in the electronic structure community. The method is illustrated with examples of convergence for large scale applications using a finite difference discretization and multigrid preconditioning.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2009.09.035

Additional details

Identifiers

DOI
10.1016/j.jcp.2009.09.035;
PII
S0021-9991(09)00527-0;

Publishing Information

Journal Title
Journal of Computational Physics
Journal Volume
229
Journal Issue
2
Journal Page Range
p. 441-452
ISSN
0021-9991
CODEN
JCTPAH

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
41069790
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ACCELERATION; ALGORITHMS; CONVERGENCE; DEGREES OF FREEDOM; DENSITY FUNCTIONAL METHOD; ELECTRONIC STRUCTURE; EQUATIONS; ITERATIVE METHODS; NONLINEAR PROBLEMS; WAVE FUNCTIONS
Descriptors DEC
CALCULATION METHODS; FUNCTIONS; MATHEMATICAL LOGIC; VARIATIONAL METHODS

Optional Information

Copyright
Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.