Published January 20, 2010
| Version v1
Journal article
Accelerated Block Preconditioned Gradient method for large scale wave functions calculations in Density Functional Theory
Creators
- 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.2009.09.035Additional 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.