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Investigation of the S 0 ?S 1 excitation in bacteriorhodopsin with the ONIOM(MO:MM) hybrid method
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Citations
Cited by
QM/MM Methods for Biomolecular Systems
Senn, H. M., & Thiel, W. (2009) · Angewandte Chemie International Edition · doi:10.1002/anie.200802019 · Cited by 2,684
QM/MM: what have we learned, where are we, and where do we go from here?
Lin, H., & Truhlar, D. G. (2007) · Theoretical Chemistry Accounts · doi:10.1007/s00214-006-0143-z · Cited by 1,200
Friesner, R. A., & Guallar, V. (2005) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.55.091602.094410 · Cited by 522
QM/MM Methods for Biological Systems
Senn, H. M., & Thiel, W. (2006) · Topics in Current Chemistry · doi:10.1007/128_2006_084 · Cited by 428
Accurate Composite and Fragment-Based Quantum Chemical Models for Large Molecules
Raghavachari, K., & Saha, A. (2015) · Chemical Reviews · doi:10.1021/cr500606e · Cited by 290
Metadata
- Authors
- Vreven, T., & Morokuma, K.
- Venue
- Theoretical Chemistry Accounts: Theory, Computation, and Modeling (Theoretica Chimica Acta)
- Published
- 2003-04-01
- Volume
- 109
- Issue
- 3
- Pages
- 125-132
- ISSN
- 1432-2234 (ISSN-L)
- 1432-881X
- OpenAlex
- W2315269703
- Cited by
- 169
- References
- 0
- FWCI
- 5.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Investigation of the S 0 ?S 1 excitation in bacteriorhodopsin with the ONIOM(MO:MM) hybrid method. https://app.cochat.ai/papers/10.1007/s00214-002-0418-y
- The paper
- Vreven, T., & Morokuma, K. (2003). Investigation of the S 0 ?S 1 excitation in bacteriorhodopsin with the ONIOM(MO:MM) hybrid method. Theoretical Chemistry Accounts: Theory, Computation, and Modeling (Theoretica Chimica Acta). https://doi.org/10.1007/s00214-002-0418-y
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.
