The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Coupled-cluster open-shell analytic gradients: Implementation of the direct product decomposition approach in energy gradient calculations
Abstract
Analytic energy gradients for the coupled-cluster singles and doubles (CCSD) method have been implemented for closed-shell systems using restricted Hartree–Fock (RHF) and open-shell systems using unrestricted Hartree–Fock (UHF) reference functions. To achieve maximum computational efficiency, the basic theory has been reformulated in terms of intermediates, thus reducing the number of required floating-point operations, and all computational steps are given in terms of matrix products in order to exploit the vector capabilities of modern supercomputers. Furthermore, the implementation has been designed to take full advantage of Abelian symmetry operations. To illustrate the computational efficiency of our implementation and in particular to demonstrate the possible savings due to the exploitation of symmetry, computer timings and hardware requirements are given for several representative chemical systems. In addition, the newly developed analytic CCSD gradient methods are applied to calculate the equilibrium geometry and energy splitting of the lowest singlet and triplet states of the C4O2 molecule.
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Cites
A full coupled-cluster singles and doubles model: The inclusion of disconnected triples
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Self-citationThe full CCSDT model for molecular electronic structure
Noga, J., & Bartlett, R. J. (1987) · The Journal of Chemical Physics · doi:10.1063/1.452353 · Cited by 1,355
Self-citationBartlett, R. J. (1989) · The Journal of Physical Chemistry · doi:10.1021/j100342a008 · Cited by 1,330
Self-citationScuseria, G. E., & Schaefer, H. F. (1989) · The Journal of Chemical Physics · doi:10.1063/1.455827 · Cited by 1,179
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Stanton, J. F., & Bartlett, R. J. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464746 · Cited by 2,599
Self-citationMOLCAS: a program package for computational chemistry
Karlström, G., Lindh, R., Malmqvist, P.-Å., Roos, B. O., Ryde, U., Veryazov, V., Widmark, P.-O., Cossi, M., Schimmelpfennig, B., Neogrady, P., et al. (2003) · Computational Materials Science · doi:10.1016/s0927-0256(03)00109-5 · Cited by 1,748
Coupled-cluster techniques for computational chemistry: The CFOUR program package
Matthews, D. A., Cheng, L., Harding, M. E., Lipparini, F., Stopkowicz, S., Jagau, T.-C., Szalay, P. G., Gauss, J., & Stanton, J. F. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0004837 · Cited by 729
Self-citationEffects of electron correlation in the calculation of nuclear magnetic resonance chemical shifts
Gauss, J. (1993) · The Journal of Chemical Physics · doi:10.1063/1.466161 · Cited by 696
Self-citationSimilarity transformed equation-of-motion coupled-cluster theory: Details, examples, and comparisons
Nooijen, M., & Bartlett, R. J. (1997) · The Journal of Chemical Physics · doi:10.1063/1.474922 · Cited by 368
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Metadata
- Authors
- Gauss, J., Stanton, J. F., & Bartlett, R. J.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 1991-08-15
- Volume
- 95
- Issue
- 4
- Pages
- 2623-2638
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2069326762
- Cited by
- 277
- References
- 26
- FWCI
- 5.48
- Type
- journal article
- Language
- en
- Open access
- closed
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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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