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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...

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Autores principales: Barazorda-Ccahuana, Haruna L., Nedyalkova, Miroslava, Kichev, Ilia, Madurga, Sergio, Donkova, Borjana, Simeonov, Vasil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
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.
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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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