Complexity Parameters for Molecular Solids

Structural complexity measures based on Shannon information entropy are widely used for inorganic crystal structures. However, the application of these parameters for molecular crystals requires essential modification since atoms in inorganic compounds usually possess more degrees of freedom. In thi...

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Main Authors: Alexander M. Banaru, Sergey M. Aksenov, Sergey V. Krivovichev
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/13/8/1399
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author Alexander M. Banaru
Sergey M. Aksenov
Sergey V. Krivovichev
author_facet Alexander M. Banaru
Sergey M. Aksenov
Sergey V. Krivovichev
author_sort Alexander M. Banaru
collection DOAJ
description Structural complexity measures based on Shannon information entropy are widely used for inorganic crystal structures. However, the application of these parameters for molecular crystals requires essential modification since atoms in inorganic compounds usually possess more degrees of freedom. In this work, a novel scheme for the calculation of complexity parameters (<i>H</i><sub>molNet</sub>, <i>H</i><sub>molNet,tot</sub>) for molecular crystals is proposed as a sum of the complexity of each molecule, the complexity of intermolecular contacts, and the combined complexity of both. This scheme is tested for several molecular crystal structures.
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spelling doaj.art-0063f32bc04e443c854c7c92d372db552023-11-22T10:00:49ZengMDPI AGSymmetry2073-89942021-08-01138139910.3390/sym13081399Complexity Parameters for Molecular SolidsAlexander M. Banaru0Sergey M. Aksenov1Sergey V. Krivovichev2Faculty of Chemistry, Moscow State University, Vorobievy Hills, 119991 Moscow, RussiaLaboratory of Nature-Inspired Technologies and Environmental Safety of the Arctic, Kola Science Centre, Russian Academy of Sciences, 14 Fersman Street, 184209 Apatity, RussiaNanomaterials Research Centre of Kola Science Centre, Russian Academy of Sciences, 14 Fersman Street, 184209 Apatity, RussiaStructural complexity measures based on Shannon information entropy are widely used for inorganic crystal structures. However, the application of these parameters for molecular crystals requires essential modification since atoms in inorganic compounds usually possess more degrees of freedom. In this work, a novel scheme for the calculation of complexity parameters (<i>H</i><sub>molNet</sub>, <i>H</i><sub>molNet,tot</sub>) for molecular crystals is proposed as a sum of the complexity of each molecule, the complexity of intermolecular contacts, and the combined complexity of both. This scheme is tested for several molecular crystal structures.https://www.mdpi.com/2073-8994/13/8/1399information measurecomplexitycrystal structurecrystallographic netcoordination number
spellingShingle Alexander M. Banaru
Sergey M. Aksenov
Sergey V. Krivovichev
Complexity Parameters for Molecular Solids
Symmetry
information measure
complexity
crystal structure
crystallographic net
coordination number
title Complexity Parameters for Molecular Solids
title_full Complexity Parameters for Molecular Solids
title_fullStr Complexity Parameters for Molecular Solids
title_full_unstemmed Complexity Parameters for Molecular Solids
title_short Complexity Parameters for Molecular Solids
title_sort complexity parameters for molecular solids
topic information measure
complexity
crystal structure
crystallographic net
coordination number
url https://www.mdpi.com/2073-8994/13/8/1399
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