Improving Vibrational Mode Interpretation Using Bayesian Regression

Filipe Teixeira; M. Natália D. S. Cordeiro

doi:10.1021/acs.jctc.8b00439

journal article Dec 10, 2018

Improving Vibrational Mode Interpretation Using Bayesian Regression

Filipe Teixeira

M. Natália D. S. Cordeiro

Journal of Chemical Theory and Computation Vol. 15 No. 1 pp. 456-470 · American Chemical Society (ACS)

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95

Citations

70

References

Details

Published: Dec 10, 2018
Vol/Issue: 15(1)
Pages: 456-470
License: View

Authors

F

Filipe Teixeira

LAQV-REQUIMTE, Faculty of Sciences of the University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal

M

M. Natália D. S. Cordeiro

LAQV-REQUIMTE, Faculty of Sciences of the University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal

Funding

European Regional Development Fund Award: POCI/01/0145/FEDER/007265

Cite This Article

Filipe Teixeira, M. Natália D. S. Cordeiro (2018). Improving Vibrational Mode Interpretation Using Bayesian Regression. Journal of Chemical Theory and Computation, 15(1), 456-470. https://doi.org/10.1021/acs.jctc.8b00439

Improving Vibrational Mode Interpretation Using Bayesian Regression

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