Complexity Reduction in Large Quantum Systems: Fragment Identification and Population Analysis via a Local Optimized Minimal Basis
- DOI
- 10.1021/acs.jctc.7b00291
- Published
- 2017-08-03
- Container
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jctc.7b00291,
title = {Complexity Reduction in Large Quantum Systems: Fragment Identification and Population Analysis via a Local Optimized Minimal Basis},
author = {Stephan Mohr and Michel Masella and Laura E. Ratcliff and Luigi Genovese},
year = {2017},
journal = {Journal of Chemical Theory and Computation},
doi = {10.1021/acs.jctc.7b00291},
url = {https://doi.org/10.1021/acs.jctc.7b00291}
}RIS
TY - JOUR TI - Complexity Reduction in Large Quantum Systems: Fragment Identification and Population Analysis via a Local Optimized Minimal Basis AU - Stephan Mohr AU - Michel Masella AU - Laura E. Ratcliff AU - Luigi Genovese PY - 2017 JO - Journal of Chemical Theory and Computation DO - 10.1021/acs.jctc.7b00291 UR - https://doi.org/10.1021/acs.jctc.7b00291 ER -
APA
Mohr, S., Masella, M., Ratcliff, L. E., & Genovese, L. (2017). Complexity Reduction in Large Quantum Systems: Fragment Identification and Population Analysis via a Local Optimized Minimal Basis. Journal of Chemical Theory and Computation. https://doi.org/10.1021/acs.jctc.7b00291
Source records
- crossref · retrieved 2026-09-25T12:27:59.942Z