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Vibrational Analysis of Manganese(II) Oxalates Hydrates: An In Silico Statistical Approach
[Image: see text] The experimental and computational vibrational study for three different manganese(II) oxalates hydrates was explored. The elucidation of IR and Raman spectra were discussed based on their structural singularity; in the same way, they establish some interesting relations between th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191557/ https://www.ncbi.nlm.nih.gov/pubmed/32363259 http://dx.doi.org/10.1021/acsomega.9b03434 |
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author | Barazorda-Ccahuana, Haruna L. Nedyalkova, Miroslava Kichev, Ilia Madurga, Sergio Donkova, Borjana Simeonov, Vasil |
author_facet | Barazorda-Ccahuana, Haruna L. Nedyalkova, Miroslava Kichev, Ilia Madurga, Sergio Donkova, Borjana Simeonov, Vasil |
author_sort | Barazorda-Ccahuana, Haruna L. |
collection | PubMed |
description | [Image: see text] The experimental and computational vibrational study for three different manganese(II) oxalates hydrates was explored. The elucidation of IR and Raman spectra were discussed based on their structural singularity; in the same way, they establish some interesting relations between them in the field of computational and statistical approaches. The density functional theory (DFT) computational approach was conducted for accurate prediction and interpretation of the intermolecular effects based on experimental and calculated IR and Raman spectra in the solid-state data in combination with multivariate statistical technique. The proposed computational scheme was also explored for the case of the isolated-molecule model. The goals of the study were to access the accuracy of the proposed procedure for solid-state calculations along with electron calculations for the isolated molecules and to reveal the similarities within the groups of objects by the cluster analysis (CA) techniques and two-way CA for the data. The presented simulation procedure should be very valuable for exploring and to classify other oxalate compounds. |
format | Online Article Text |
id | pubmed-7191557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-71915572020-05-01 Vibrational Analysis of Manganese(II) Oxalates Hydrates: An In Silico Statistical Approach Barazorda-Ccahuana, Haruna L. Nedyalkova, Miroslava Kichev, Ilia Madurga, Sergio Donkova, Borjana Simeonov, Vasil ACS Omega [Image: see text] The experimental and computational vibrational study for three different manganese(II) oxalates hydrates was explored. The elucidation of IR and Raman spectra were discussed based on their structural singularity; in the same way, they establish some interesting relations between them in the field of computational and statistical approaches. The density functional theory (DFT) computational approach was conducted for accurate prediction and interpretation of the intermolecular effects based on experimental and calculated IR and Raman spectra in the solid-state data in combination with multivariate statistical technique. The proposed computational scheme was also explored for the case of the isolated-molecule model. The goals of the study were to access the accuracy of the proposed procedure for solid-state calculations along with electron calculations for the isolated molecules and to reveal the similarities within the groups of objects by the cluster analysis (CA) techniques and two-way CA for the data. The presented simulation procedure should be very valuable for exploring and to classify other oxalate compounds. American Chemical Society 2020-04-15 /pmc/articles/PMC7191557/ /pubmed/32363259 http://dx.doi.org/10.1021/acsomega.9b03434 Text en Copyright © 2020 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Barazorda-Ccahuana, Haruna L. Nedyalkova, Miroslava Kichev, Ilia Madurga, Sergio Donkova, Borjana Simeonov, Vasil Vibrational Analysis of Manganese(II) Oxalates Hydrates: An In Silico Statistical Approach |
title | Vibrational Analysis of Manganese(II) Oxalates Hydrates:
An In Silico Statistical Approach |
title_full | Vibrational Analysis of Manganese(II) Oxalates Hydrates:
An In Silico Statistical Approach |
title_fullStr | Vibrational Analysis of Manganese(II) Oxalates Hydrates:
An In Silico Statistical Approach |
title_full_unstemmed | Vibrational Analysis of Manganese(II) Oxalates Hydrates:
An In Silico Statistical Approach |
title_short | Vibrational Analysis of Manganese(II) Oxalates Hydrates:
An In Silico Statistical Approach |
title_sort | vibrational analysis of manganese(ii) oxalates hydrates:
an in silico statistical approach |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191557/ https://www.ncbi.nlm.nih.gov/pubmed/32363259 http://dx.doi.org/10.1021/acsomega.9b03434 |
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