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A new look at correlation energy in atomic and molecular systems. II. The application of the Green’s function Monte Carlo method to LiH
Abstract
The potential energy surface of the LiH molecule is calculated using the Green’s function Monte Carlo method. The calculated correlation energy is 0.078±0.001 hartree and the binding energy is 2.56 eV. These results are within 6% and 2% of the experimental values, respectively. The Green’s function Monte Carlo method is discussed in some detail with particular emphasis on problems of chemical interest.
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Citations
Cited by
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Quantum Monte Carlo methods for nuclear physics
Carlson, J., Gandolfi, S., Pederiva, F., Pieper, S. C., Schiavilla, R., Schmidt, K. E., & Wiringa, R. B. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.1067 · Cited by 818
Self-citationA diffusion Monte Carlo algorithm with very small time-step errors
Umrigar, C. J., Nightingale, M. P., & Runge, K. J. (1993) · The Journal of Chemical Physics · doi:10.1063/1.465195 · Cited by 532
Quantum Monte Carlo Approaches for Correlated Systems
Becca, F., & Sorella, S. (2017) · doi:10.1017/9781316417041 · Cited by 523
Constrained path Monte Carlo method for fermion ground states
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Metadata
- Authors
- Moskowitz, J. W., Schmidt, K. E., Lee, M. A., & Kalos, M. H.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 1982-07-01
- Volume
- 77
- Issue
- 1
- Pages
- 349-355
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2026936221
- Cited by
- 214
- References
- 0
- FWCI
- 6.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A new look at correlation energy in atomic and molecular systems. II. The application of the Green’s function Monte Carlo method to LiH. https://app.cochat.ai/papers/10.1063/1.443612
- The paper
- Moskowitz, J. W., Schmidt, K. E., Lee, M. A., & Kalos, M. H. (1982). A new look at correlation energy in atomic and molecular systems. II. The application of the Green’s function Monte Carlo method to LiH. The Journal of Chemical Physics. https://doi.org/10.1063/1.443612
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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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