Published May 14, 2014
| Version v1
Journal article
Communication: Acceleration of coupled cluster singles and doubles via orbital-weighted least-squares tensor hypercontraction
Creators
- 1. Center for Computational Molecular Science and Technology, School of Chemistry and Biochemistry and School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0400 (United States)
- 2. Department of Chemistry and the PULSE Institute, Stanford University, Stanford, California 94305, USA and SLAC National Accelerator Laboratory, Menlo Park, California 94025 (United States)
Description
We apply orbital-weighted least-squares tensor hypercontraction decomposition of the electron repulsion integrals to accelerate the coupled cluster singles and doubles (CCSD) method. Using accurate and flexible low-rank factorizations of the electron repulsion integral tensor, we are able to reduce the scaling of the most vexing particle-particle ladder term in CCSD from O(N6) to O(N5), with remarkably low error. Combined with a T1-transformed Hamiltonian, this leads to substantial practical accelerations against an optimized density-fitted CCSD implementation
Additional details
Identifiers
- DOI
- 10.1063/1.4876016;
Publishing Information
- Journal Title
- Journal of Chemical Physics
- Journal Volume
- 140
- Journal Issue
- 18
- Journal Page Range
- p. 181102-181102.4
- ISSN
- 0021-9606
- CODEN
- JCPSA6
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 45074035
- Subject category
- S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
- Descriptors DEI
- DECOMPOSITION; DENSITY; ELECTRONS; HAMILTONIANS; INTEGRALS; LEAST SQUARE FIT; PARTICLES; TENSORS
- Descriptors DEC
- CHEMICAL REACTIONS; ELEMENTARY PARTICLES; FERMIONS; LEPTONS; MATHEMATICAL OPERATORS; MATHEMATICAL SOLUTIONS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION; PHYSICAL PROPERTIES; QUANTUM OPERATORS
Optional Information
- Notes
- (c) 2014 AIP Publishing LLC