Journal article
Power Laws Used to Extrapolate the Coupled Cluster Correlation Energy to the Thermodynamic Limit
Journal of chemical theory and computation, Vol.17(5), pp.2752-2758
04/08/2021
DOI: 10.1021/acs.jctc.0c01171
PMID: 33830754
Abstract
Recent calculations using coupled cluster on solids have raised the discussion of using a
power law to fit the correlation energy when extrapolating to the thermodynamic limit, an approach which differs from the more commonly used
power law, which is, for example, often used by quantum Monte Carlo methods. In this paper, we present one way to reconcile these viewpoints. Coupled cluster doubles calculations were performed on uniform electron gases reaching system sizes of 922 electrons for an extremely wide range of densities (0.1 <
< 100.0) to study how the correlation energy approaches the thermodynamic limit. The data were corrected for the basis set incompleteness error and use a selected twist angle approach to mitigate the finite size error from shell filling effects. Analyzing these data, we initially find that a power law of
appears to fit the data better than a
power law in the large system size limit. However, we provide an analysis of the transition structure factor showing that
still applies to large system sizes and that the apparent
power law occurs only at low
.
Details
- Title: Subtitle
- Power Laws Used to Extrapolate the Coupled Cluster Correlation Energy to the Thermodynamic Limit
- Creators
- Tina N Mihm - Department of Chemistry, University of Iowa, Iowa City, Iowa 52242, United StatesBingdi Yang - Department of Chemistry, University of Iowa, Iowa City, Iowa 52242, United StatesJames J Shepherd - Department of Chemistry, University of Iowa, Iowa City, Iowa 52242, United States
- Resource Type
- Journal article
- Publication Details
- Journal of chemical theory and computation, Vol.17(5), pp.2752-2758
- DOI
- 10.1021/acs.jctc.0c01171
- PMID
- 33830754
- NLM abbreviation
- J Chem Theory Comput
- ISSN
- 1549-9618
- eISSN
- 1549-9626
- Publisher
- United States
- Grant note
- DOI: 10.13039/100008893, name: University of Iowa
- Language
- English
- Date published
- 04/08/2021
- Academic Unit
- Chemistry
- Record Identifier
- 9984077783302771
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