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Cited by 176

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Orbital-optimized opposite-spin scaled second-order correlation: An economical method to improve the description of open-shell molecules

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Lochan, Rohini C., Head-Gordon, Martin·2007·The Journal of Chemical Physics

Abstract

Coupled-cluster methods based on Brueckner orbitals are well known to resolve the problems of symmetry breaking and spin contamination that are often associated with Hartree-Fock orbitals. However, their computational cost is large enough to prevent application to large molecules. Here the authors present a simple approximation where the orbitals are optimized with the mean-field energy plus a correlation energy taken as the opposite-spin component of the second-order many-body correlation energy, scaled by an empirically chosen parameter (recommended as 1.2 for general applications). This “optimized second-order opposite-spin” (abbreviated as O2) method requires fourth-order computation on each orbital iteration. O2 is shown to yield predictions of structure and frequencies for closed-shell molecules that are very similar to scaled second-order Møller-Plesset methods. However, it yields substantial improvements for open-shell molecules, where problems with spin contamination and symmetry breaking are shown to be greatly reduced.

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Metadata

Authors
Lochan, R. C., & Head-Gordon, M.
Venue
The Journal of Chemical Physics
Published
2007-04-23
Volume
126
Issue
16
Pages
164101-164101
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W173877500
Cited by
176
References
2
FWCI
4.69
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Orbital-optimized opposite-spin scaled second-order correlation: An economical method to improve the description of open-shell molecules. https://app.cochat.ai/papers/10.1063/1.2718952
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Lochan, R. C., & Head-Gordon, M. (2007). Orbital-optimized opposite-spin scaled second-order correlation: An economical method to improve the description of open-shell molecules. The Journal of Chemical Physics. https://doi.org/10.1063/1.2718952

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

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