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Cited by 362

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

The closed-shell coupled cluster single and double excitation (CCSD) model for the description of electron correlation. A comparison with configuration interaction (CISD) results

Scuseria, Gustavo E., Scheiner, Andrew C., Lee, Timothy J., Rice, Julia E., Schaefer, Henry F.·1987·The Journal of Chemical Physics
DOI 10.1063/1.452039
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Abstract

A single and double excitation coupled cluster (CCSD) method restricted to closed-shell single configuration reference functions is described in explicit detail. Some significant simplifications resulting from the restriction to closed-shell systems are exploited to achieve maximum computational efficiency. Comparisons for energetic results and computational requirements are made with the single and double excitation configuration interaction (CISD) method. The specific molecules considered include N2, H2O, H3O+, H5O+2, HSOH, and s-tetrazine (C2N4H2).

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Crossref · 10.1063/1.452039

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Metadata

Authors
Scuseria, G. E., Scheiner, A. C., Lee, T. J., Rice, J. E., & Schaefer, H. F.
Venue
The Journal of Chemical Physics
Publisher
AIP Publishing
Published
1987-03-01
Volume
86
Issue
5
Pages
2881-2890
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
DOI
10.1063/1.452039
OpenAlex
W1994298443
Cited by
362
References
27
FWCI
7.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The closed-shell coupled cluster single and double excitation (CCSD) model for the description of electron correlation. A comparison with configuration interaction (CISD) results. https://app.cochat.ai/papers/10.1063/1.452039
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Scuseria, G. E., Scheiner, A. C., Lee, T. J., Rice, J. E., & Schaefer, H. F. (1987). The closed-shell coupled cluster single and double excitation (CCSD) model for the description of electron correlation. A comparison with configuration interaction (CISD) results. The Journal of Chemical Physics. https://doi.org/10.1063/1.452039

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.