The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Multiconfiguration Self-Consistent Field and Multireference Configuration Interaction Methods and Applications
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTMulticonfiguration Self-Consistent Field and Multireference Configuration Interaction Methods and ApplicationsPéter G. Szalay, Thomas Müller, Gergely Gidofalvi, Hans Lischka, and Ron Shepard*View Author Information Laboratory for Theoretical Chemistry, Institute of Chemistry, Eötvös Loránd University, P. O. Box 32, H-1518 Budapest, Hungary Jülich Supercomputer Centre, Institute of Advanced Simulation, Forschungszentrum Jülich, D-52425 Jülich, Germany Department of Chemistry and Biochemistry, Gonzaga University, 502 East Boone Avenue, Spokane, Washington 99258-0102, United States Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409-1061, United States Institute for Theoretical Chemistry, University of Vienna, Waehringerstrasse 17, A-1090 Vienna, Austria Chemical Sciences and Engineering Division, Argonne National Laboratory, Argonne, Illinois 60439, United States *E-mail: [email protected]Cite this: Chem. Rev. 2012, 112, 1, 108–181Publication Date (Web):December 28, 2011Publication History Received21 September 2011Published online28 December 2011Published inissue 11 January 2012https://pubs.acs.org/doi/10.1021/cr200137ahttps://doi.org/10.1021/cr200137areview-articleACS PublicationsCopyright © 2011 American Chemical SocietyRequest reuse permissionsArticle Views12093Altmetric-Citations559LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Chemical calculations,Energy,Hamiltonians,Wave function Get e-Alerts
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
Cites
Self-consistent molecular orbital methods. XX. A basis set for correlated wave functions
Krishnan, R., Binkley, J. S., Seeger, R., & Pople, J. A. (1980) · The Journal of Chemical Physics · doi:10.1063/1.438955 · Cited by 17,772
Density matrix formulation for quantum renormalization groups
White, S. R. (1992) · Physical Review Letters · doi:10.1103/physrevlett.69.2863 · Cited by 7,702
The density-matrix renormalization group in the age of matrix product states
Schollwöck, U. (2011) · Annals of Physics · doi:10.1016/j.aop.2010.09.012 · Cited by 4,818
Coupled-cluster theory in quantum chemistry
Bartlett, R. J., & Musiał, M. (2007) · Reviews of Modern Physics · doi:10.1103/revmodphys.79.291 · Cited by 3,343
The density-matrix renormalization group
Schollwöck, U. (2005) · Reviews of Modern Physics · doi:10.1103/revmodphys.77.259 · Cited by 3,323
Molecular Electronic‐Structure Theory
Helgaker, T., Jørgensen, P., & Olsen, J. (2000) · doi:10.1002/9781119019572 · Cited by 2,594
Nineteen Dubious Ways to Compute the Exponential of a Matrix, Twenty-Five Years Later
Moler, C., & Van Loan, C. (2003) · SIAM Review · doi:10.1137/s00361445024180 · Cited by 2,357
Ab initio quantum chemistry using the density matrix renormalization group
White, S. R., & Martin, R. L. (1999) · The Journal of Chemical Physics · doi:10.1063/1.478295 · Cited by 558
Legeza, Ö., Röder, J., & Hess, B. A. (2003) · Physical Review B · doi:10.1103/physrevb.67.125114 · Cited by 263
A unitary multiconfigurational coupled-cluster method: Theory and applications
Hoffmann, M. R., & Simons, J. (1988) · The Journal of Chemical Physics · doi:10.1063/1.454125 · Cited by 193
Kutzelnigg, W. (1977) · Methods of Electronic Structure Theory · doi:10.1007/978-1-4757-0887-5_5 · Cited by 120
Analytic response theory for the density matrix renormalization group
Dorando, J. J., Hachmann, J., & Chan, G. K.-L. (2009) · The Journal of Chemical Physics · doi:10.1063/1.3121422 · Cited by 60
Cited by
Unke, O. T., Chmiela, S., Sauceda, H. E., Gastegger, M., Poltavsky, I., Schütt, K. T., Tkatchenko, A., & Müller, K.-R. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01111 · Cited by 1,647
Quantum computational chemistry
McArdle, S., Endo, S., Aspuru-Guzik, A., Benjamin, S. C., & Yuan, X. (2020) · Reviews of Modern Physics · doi:10.1103/revmodphys.92.015003 · Cited by 1,621
Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems
Keith, J. A., Vassilev-Galindo, V., Cheng, B., Chmiela, S., Gastegger, M., Müller, K.-R., & Tkatchenko, A. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00107 · Cited by 849
Recent Advances and Perspectives on Nonadiabatic Mixed Quantum–Classical Dynamics
Crespo-Otero, R., & Barbatti, M. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00577 · Cited by 733
Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz
Romero, J., Babbush, R., McClean, J. R., Hempel, C., Love, P. J., & Aspuru-Guzik, A. (2019) · Quantum Science and Technology · doi:10.1088/2058-9565/aad3e4 · Cited by 726
Metadata
- Authors
- Szalay, P. G., Müller, T., Gidofalvi, G., Lischka, H., & Shepard, R.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-12-28
- Volume
- 112
- Issue
- 1
- Pages
- 108-181
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2329118757
- Cited by
- 725
- References
- 12
- FWCI
- 1.65
- 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
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.
