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Fragment molecular orbital method: an approximate computational method for large molecules
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Citations
Cited by
ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
Smith, J. S., Isayev, O., & Roitberg, A. E. (2017) · Chemical Science · doi:10.1039/c6sc05720a · Cited by 1,921
Recent developments in the general atomic and molecular electronic structure system
Barca, G. M. J., Bertoni, C., Carrington, L., Datta, D., De Silva, N., Deustua, J. E., Fedorov, D. G., Gour, J. R., Gunina, A. O., Guidez, E., et al. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0005188 · Cited by 1,443
Extending the Power of Quantum Chemistry to Large Systems with the Fragment Molecular Orbital Method
Fedorov, D. G., & Kitaura, K. (2007) · The Journal of Physical Chemistry A · doi:10.1021/jp0716740 · Cited by 567
Self-citation\mathcal{O}(N) methods in electronic structure calculations
Bowler, D. R., & Miyazaki, T. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/3/036503 · Cited by 521
Computational electrochemistry: prediction of liquid-phase reduction potentials
Marenich, A. V., Ho, J., Coote, M. L., Cramer, C. J., & Truhlar, D. G. (2014) · Phys. Chem. Chem. Phys. · doi:10.1039/c4cp01572j · Cited by 508
Metadata
- Authors
- Kitaura, K., Ikeo, E., Asada, T., Nakano, T., & Uebayasi, M.
- Venue
- Chemical Physics Letters
- Publisher
- Elsevier BV
- Published
- 1999-11
- Volume
- 313
- Issue
- 3-4
- Pages
- 701-706
- ISSN
- 0009-2614 (ISSN-L)
- OpenAlex
- W2095148640
- Cited by
- 1,395
- References
- 0
- FWCI
- 1.35
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Fragment molecular orbital method: an approximate computational method for large molecules. https://app.cochat.ai/papers/10.1016/s0009-2614(99)00874-x
- The paper
- Kitaura, K., Ikeo, E., Asada, T., Nakano, T., & Uebayasi, M. (1999). Fragment molecular orbital method: an approximate computational method for large molecules. Chemical Physics Letters. https://doi.org/10.1016/s0009-2614(99)00874-x
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.