The DOI matches its Crossref record.
Calculation of properties with the coupled-cluster method
Abstract
The cluster-expansion approach to the correlation problem, pioneered by Cocster, Kümmel, Cizek and Paldus, is extended to calculation of static and dynamic properties of many-fermion systems. Linear, inhomogeneous equations are obtained for properties of any order. A time-dependent formulation gives frequency-dependent properties, yielding excitation energies, transition probabilities, and (possibly) life times reminiscent of Green's function methods.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Quantum Chemistry in the Age of Quantum Computing
Cao, Y., Romero, J., Olson, J. P., Degroote, M., Johnson, P. D., Kieferová, M., Kivlichan, I. D., Menke, T., Peropadre, B., Sawaya, N. P. D., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00803 · Cited by 1,560
The Variational Quantum Eigensolver: A review of methods and best practices
Tilly, J., Chen, H., Cao, S., Picozzi, D., Setia, K., Li, Y., Grant, E., Wossnig, L., Rungger, I., Booth, G. H., et al. (2022) · Physics Reports · doi:10.1016/j.physrep.2022.08.003 · Cited by 1,031
Less is more: Sampling chemical space with active learning
Smith, J. S., Nebgen, B., Lubbers, N., Isayev, O., & Roitberg, A. E. (2018) · The Journal of Chemical Physics · doi:10.1063/1.5023802 · Cited by 811
Hickey, A. L., & Rowley, C. N. (2014) · The Journal of Physical Chemistry A · doi:10.1021/jp502475e · Cited by 319
Accurate molecular polarizabilities with coupled cluster theory and machine learning
Wilkins, D. M., Grisafi, A., Yang, Y., Lao, K. U., DiStasio, R. A., & Ceriotti, M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1816132116 · Cited by 204
Metadata
- Authors
- Monkhorst, H. J.
- Venue
- International Journal of Quantum Chemistry
- Publisher
- Wiley
- Published
- 2009-06-18
- Volume
- 12
- Issue
- S11
- Pages
- 421-432
- ISSN
- 0020-7608 (ISSN-L)
- 1097-461X
- OpenAlex
- W2140467282
- Cited by
- 351
- References
- 0
- FWCI
- 3.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Calculation of properties with the coupled-cluster method. https://app.cochat.ai/papers/10.1002/qua.560120850
- The paper
- Monkhorst, H. J. (2009). Calculation of properties with the coupled-cluster method. International Journal of Quantum Chemistry. https://doi.org/10.1002/qua.560120850
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
