Optimization of convergence criteria for fragmentation methods
- 1. State Key Laboratory of Precision Spectroscopy, Institute of Theoretical and Computational Science, East China Normal University, Shanghai 200062 (China)
- 2. School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062 (China)
- 3. NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062 (China)
- 4. Department of Chemistry, New York University, NY, NY 10003 (United States)
Description
Highlights: • The responses of fragmentation methods to SCF convergence criteria are studied. • The convergence error is shown to be much smaller than the fragmentation error. Fragmentation methods reproduce the result of the exponential scaling full system calculation within an error about 1 kcal/mol. They serve as a robust linear scaling regime of quantum treatment for large molecular systems. As the response of fragmentation methods to convergence criteria in SCF iterations is different from that of full system calculation and the propagated convergence error is much smaller than the fragmentation error, the speed of fragmentation ab initio calculation can be further enhanced via loosening the convergence criterion in the calculation of each fragment without sacrificing the accuracy of the overall energy. Tests on single configuration calculations, geometry optimization and molecular dynamics simulation are performed.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.cplett.2017.08.059Additional details
Identifiers
- DOI
- 10.1016/j.cplett.2017.08.059;
- PII
- S0009261417308187;
Publishing Information
- Journal Title
- Chemical Physics Letters
- Journal Volume
- 687
- Journal Page Range
- p. 163-170
- ISSN
- 0009-2614
- CODEN
- CHPLBC
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51063778
- Subject category
- S74: ATOMIC AND MOLECULAR PHYSICS;
- Descriptors DEI
- CONFIGURATION; CONVERGENCE; FRAGMENTATION; MOLECULAR DYNAMICS METHOD; OPTIMIZATION; SIMULATION
- Descriptors DEC
- CALCULATION METHODS
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier B.V. All rights reserved.