Mining Knowledge from Crystal Structures: Oxidation States of Oxygen-Coordinated Metal Atoms in Ionic and Coordination Compounds
Publication type: Journal Article
Publication date: 2022-05-06
scimago Q1
wos Q1
SJR: 1.467
CiteScore: 9.8
Impact factor: 5.3
ISSN: 15499596, 1549960X
PubMed ID:
35522594
General Chemistry
Computer Science Applications
General Chemical Engineering
Library and Information Sciences
Abstract
We propose a universal scheme for predicting the oxidation states of metal atoms in ionic and coordination compounds with a small set of structural descriptors, which include the parameters of atomic Voronoi polyhedra. The scheme has been trained and checked with more than 35,000 crystal structures containing more than 90,000 metal atoms in the oxygen environment. The accuracy of the prediction exceeded 95%; we have detected a number of wrong oxidation states and incorrect chemical compositions in the crystallographic databases using this scheme. The scheme is easily extendable to any kind of atomic environment and can be used to search for correlations between geometrical and physical properties of crystal structures.
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13
Total citations:
13
Citations from 2024:
9
(69%)
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GOST
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Shevchenko A. P. et al. Mining Knowledge from Crystal Structures: Oxidation States of Oxygen-Coordinated Metal Atoms in Ionic and Coordination Compounds // Journal of Chemical Information and Modeling. 2022. Vol. 62. No. 10. pp. 2332-2340.
GOST all authors (up to 50)
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Shevchenko A. P., Smolkov M. I., Wang J., Blatov V. A. Mining Knowledge from Crystal Structures: Oxidation States of Oxygen-Coordinated Metal Atoms in Ionic and Coordination Compounds // Journal of Chemical Information and Modeling. 2022. Vol. 62. No. 10. pp. 2332-2340.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1021/acs.jcim.2c00080
UR - https://doi.org/10.1021/acs.jcim.2c00080
TI - Mining Knowledge from Crystal Structures: Oxidation States of Oxygen-Coordinated Metal Atoms in Ionic and Coordination Compounds
T2 - Journal of Chemical Information and Modeling
AU - Shevchenko, Alexander P.
AU - Smolkov, Michail I
AU - Wang, Junjie
AU - Blatov, Vladislav A.
PY - 2022
DA - 2022/05/06
PB - American Chemical Society (ACS)
SP - 2332-2340
IS - 10
VL - 62
PMID - 35522594
SN - 1549-9596
SN - 1549-960X
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2022_Shevchenko,
author = {Alexander P. Shevchenko and Michail I Smolkov and Junjie Wang and Vladislav A. Blatov},
title = {Mining Knowledge from Crystal Structures: Oxidation States of Oxygen-Coordinated Metal Atoms in Ionic and Coordination Compounds},
journal = {Journal of Chemical Information and Modeling},
year = {2022},
volume = {62},
publisher = {American Chemical Society (ACS)},
month = {may},
url = {https://doi.org/10.1021/acs.jcim.2c00080},
number = {10},
pages = {2332--2340},
doi = {10.1021/acs.jcim.2c00080}
}
Cite this
MLA
Copy
Shevchenko, Alexander P., et al. “Mining Knowledge from Crystal Structures: Oxidation States of Oxygen-Coordinated Metal Atoms in Ionic and Coordination Compounds.” Journal of Chemical Information and Modeling, vol. 62, no. 10, May. 2022, pp. 2332-2340. https://doi.org/10.1021/acs.jcim.2c00080.
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