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Frequency Range Selection Method for Vibrational Spectra

[Image: see text] Theoretical calculations of vibrational properties are widely used to explain and predict experimental spectra. However, with standard quantum chemical methods all molecular motions are considered, which is rather time-consuming for large molecules. Because typically only a specifi...

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Autores principales: Teodoro, T. Q., Koenis, M. A. J., Galembeck, S. E., Nicu, V. P., Buma, W. J., Visscher, L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6287222/
https://www.ncbi.nlm.nih.gov/pubmed/30449106
http://dx.doi.org/10.1021/acs.jpclett.8b02963
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author Teodoro, T. Q.
Koenis, M. A. J.
Galembeck, S. E.
Nicu, V. P.
Buma, W. J.
Visscher, L.
author_facet Teodoro, T. Q.
Koenis, M. A. J.
Galembeck, S. E.
Nicu, V. P.
Buma, W. J.
Visscher, L.
author_sort Teodoro, T. Q.
collection PubMed
description [Image: see text] Theoretical calculations of vibrational properties are widely used to explain and predict experimental spectra. However, with standard quantum chemical methods all molecular motions are considered, which is rather time-consuming for large molecules. Because typically only a specific spectral region is of experimental interest, we propose here an efficient method that allows calculation of only a selected frequency interval. After a computationally cheap low-level estimate of the molecular motions, the computational time is proportional to the number of normal modes needed to describe this frequency range. Results for a medium-sized molecule show a reduction in computational time of up to 1 order of magnitude with negligible loss in accuracy. We also show that still larger computational savings are possible by using an additional intensity-selection procedure.
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spelling pubmed-62872222018-12-12 Frequency Range Selection Method for Vibrational Spectra Teodoro, T. Q. Koenis, M. A. J. Galembeck, S. E. Nicu, V. P. Buma, W. J. Visscher, L. J Phys Chem Lett [Image: see text] Theoretical calculations of vibrational properties are widely used to explain and predict experimental spectra. However, with standard quantum chemical methods all molecular motions are considered, which is rather time-consuming for large molecules. Because typically only a specific spectral region is of experimental interest, we propose here an efficient method that allows calculation of only a selected frequency interval. After a computationally cheap low-level estimate of the molecular motions, the computational time is proportional to the number of normal modes needed to describe this frequency range. Results for a medium-sized molecule show a reduction in computational time of up to 1 order of magnitude with negligible loss in accuracy. We also show that still larger computational savings are possible by using an additional intensity-selection procedure. American Chemical Society 2018-11-19 2018-12-06 /pmc/articles/PMC6287222/ /pubmed/30449106 http://dx.doi.org/10.1021/acs.jpclett.8b02963 Text en Copyright © 2018 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes.
spellingShingle Teodoro, T. Q.
Koenis, M. A. J.
Galembeck, S. E.
Nicu, V. P.
Buma, W. J.
Visscher, L.
Frequency Range Selection Method for Vibrational Spectra
title Frequency Range Selection Method for Vibrational Spectra
title_full Frequency Range Selection Method for Vibrational Spectra
title_fullStr Frequency Range Selection Method for Vibrational Spectra
title_full_unstemmed Frequency Range Selection Method for Vibrational Spectra
title_short Frequency Range Selection Method for Vibrational Spectra
title_sort frequency range selection method for vibrational spectra
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6287222/
https://www.ncbi.nlm.nih.gov/pubmed/30449106
http://dx.doi.org/10.1021/acs.jpclett.8b02963
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