Title
Vibrational Analysis of Manganese(II) Oxalates Hydrates: An in Silico Statistical Approach
Date Issued
28 April 2020
Access level
open access
Resource Type
journal article
Author(s)
Nedyalkova M.
Kichev I.
Madurga S.
Donkova B.
Simeonov V.
Publisher(s)
American Chemical Society
Abstract
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.
Start page
9071
End page
9077
Volume
5
Issue
16
Language
English
OCDE Knowledge area
Física atómica, molecular y química
Scopus EID
2-s2.0-85083899596
Source
ACS Omega
ISSN of the container
24701343
Sponsor(s)
NIS-SU projects found, grant number 80-10-152/16.04.2019 funded by the Sofia University. The author M.N. is grateful for the additional support by the project “Information and Communication Technologies for a Single Digital Market in Science, Education and Security” of the Scientific Research Center, NIS-3317 and National roadmaps for research infrastructures (RIs) grant number [NIS-3318]. The authors are thankful for the support through Project BG05M2OP001-1.001-0004-C01/28.02.2018 (2018-2023) Generalitat de Catalunya (grant 2017SGR1033), and the Spanish Structures of Excellence María de Maeztu Program through grant MDM-2017-0767 is fully acknowledged.
Sources of information: Directorio de Producción Científica Scopus