Published November 2017 | Version v1
Journal article

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.2017.08.059

Additional 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.