Why pay more? QTAIM descriptors of non-covalent interactions in S22 from promolecular electron density
Publication type: Journal Article
Publication date: 2023-11-29
scimago Q3
wos Q3
SJR: 0.305
CiteScore: 3.0
Impact factor: 1.7
ISSN: 09599436, 1364551X
General Chemistry
Abstract
Based on the comparative analysis of electron density topological features obtained by different methods for the model set of bimolecular associates it is shown that the simplest promolecule model can be an efficient tool in studies of non-covalent interactions
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Total citations:
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Ananyev I. V., Fershtat L. L. Why pay more? QTAIM descriptors of non-covalent interactions in S22 from promolecular electron density // Mendeleev Communications. 2023. Vol. 33. No. 6. pp. 806-808.
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Ananyev I. V., Fershtat L. L. Why pay more? QTAIM descriptors of non-covalent interactions in S22 from promolecular electron density // Mendeleev Communications. 2023. Vol. 33. No. 6. pp. 806-808.
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TY - JOUR
DO - 10.1016/j.mencom.2023.10.022
UR - https://linkinghub.elsevier.com/retrieve/pii/S0959943623003139
TI - Why pay more? QTAIM descriptors of non-covalent interactions in S22 from promolecular electron density
T2 - Mendeleev Communications
AU - Ananyev, Ivan V
AU - Fershtat, Leonid L.
PY - 2023
DA - 2023/11/29
PB - OOO Zhurnal "Mendeleevskie Soobshcheniya"
SP - 806-808
IS - 6
VL - 33
SN - 0959-9436
SN - 1364-551X
ER -
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BibTex (up to 50 authors)
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@article{2023_Ananyev,
author = {Ivan V Ananyev and Leonid L. Fershtat},
title = {Why pay more? QTAIM descriptors of non-covalent interactions in S22 from promolecular electron density},
journal = {Mendeleev Communications},
year = {2023},
volume = {33},
publisher = {OOO Zhurnal "Mendeleevskie Soobshcheniya"},
month = {nov},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0959943623003139},
number = {6},
pages = {806--808},
doi = {10.1016/j.mencom.2023.10.022}
}
Cite this
MLA
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Ananyev, Ivan V., and Leonid L. Fershtat. “Why pay more? QTAIM descriptors of non-covalent interactions in S22 from promolecular electron density.” Mendeleev Communications, vol. 33, no. 6, Nov. 2023, pp. 806-808. https://linkinghub.elsevier.com/retrieve/pii/S0959943623003139.
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