The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Higher-order equation-of-motion coupled-cluster methods
Abstract
The equation-of-motion coupled-cluster (EOM-CC) methods truncated after double, triple, or quadruple cluster and linear excitation operators (EOM-CCSD, EOM-CCSDT, and EOM-CCSDTQ) have been derived and implemented into parallel execution programs. They compute excitation energies, excited-state dipole moments, and transition moments of closed- and open-shell systems, taking advantage of spin, spatial (real Abelian), and permutation symmetries simultaneously and fully (within the spin–orbital formalisms). The related Λ equation solvers for coupled-cluster (CC) methods through and up to connected quadruple excitation (CCSD, CCSDT, and CCSDTQ) have also been developed. These developments have been achieved, by virtue of the algebraic and symbolic manipulation program that automated the formula derivation and implementation altogether. The EOM-CC methods and CC Λ equations introduce a class of second quantized ansatz with a de-excitation operator (Ŷ), a number of excitation operators (X̂), and a physical (e.g., the Hamiltonian) operator (Â), leading to the tensor contraction expressions that can be performed in the order of ((⋯((yx)x)⋯)x)a or ((⋯((ax)x)⋯)x)y at the minimal peak operation cost, where x, y, and a are basis-set representations (i.e., tensors) of the respective operators X̂, Ŷ, and Â. Any intermediate tensor resulting from either contraction order is shown to have at most six groups of permutable indices, and this knowledge is used to guide the computer-synthesized programs to fully exploit the permutation symmetry of any tensor to minimize the arithmetic and memory costs.
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Cites
A full coupled-cluster singles and doubles model: The inclusion of disconnected triples
Purvis, G. D., & Bartlett, R. J. (1982) · The Journal of Chemical Physics · doi:10.1063/1.443164 · Cited by 6,466
Čížek, J. (1966) · The Journal of Chemical Physics · doi:10.1063/1.1727484 · Cited by 3,074
Stanton, J. F., & Bartlett, R. J. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464746 · Cited by 2,599
Toward a systematic molecular orbital theory for excited states
Foresman, J. B., Head-Gordon, M., Pople, J. A., & Frisch, M. J. (1992) · The Journal of Physical Chemistry · doi:10.1021/j100180a030 · Cited by 2,386
Bartlett, R. J., & Purvis, G. D. (1978) · International Journal of Quantum Chemistry · doi:10.1002/qua.560140504 · Cited by 1,575
Short-range correlations in nuclear wave functions
Coester, F., & Kümmel, H. (1960) · Nuclear Physics · doi:10.1016/0029-5582(60)90140-1 · Cited by 1,255
Coupled cluster response functions
Koch, H., & Jo/rgensen, P. (1990) · The Journal of Chemical Physics · doi:10.1063/1.458814 · Cited by 1,134
Bound states of a many-particle system
Coester, F. (1958) · Nuclear Physics · doi:10.1016/0029-5582(58)90280-3 · Cited by 1,106
Paldus, J., Čížek, J., & Shavitt, I. (1972) · Physical Review A · doi:10.1103/physreva.5.50 · Cited by 913
Higher excitations in coupled-cluster theory
Kállay, M., & Surján, P. R. (2001) · The Journal of Chemical Physics · doi:10.1063/1.1383290 · Cited by 754
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Multireference Electron Correlation Methods: Journeys along Potential Energy Surfaces
Park, J. W., Al-Saadon, R., MacLeod, M. K., Shiozaki, T., & Vlaisavljevich, B. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00496 · Cited by 155
Computational Study of Bond Dissociation Enthalpies for Substituted β‐O‐4 Lignin Model Compounds
Younker, J. M., Beste, A., & Buchanan, A. C. (2011) · ChemPhysChem · doi:10.1002/cphc.201100477 · Cited by 106
Metadata
- Authors
- Hirata, S.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2004-07-01
- Volume
- 121
- Issue
- 1
- Pages
- 51-59
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2065716066
- Cited by
- 255
- References
- 51
- FWCI
- 10.65
- 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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