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Pixel calculations using Orca or GAUSSIAN for electron density automated within the Oscail package

Many discussions of the intermolecular interactions in crystal structures concentrate almost exclusively on an analysis of hydrogen bonding. A simple analysis of atom–atom distances is all that is required to detect and analyse hydrogen bonding. However, for typical small-molecule organic crystal st...

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Autor principal: McArdle, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493623/
https://www.ncbi.nlm.nih.gov/pubmed/34667454
http://dx.doi.org/10.1107/S1600576721008529
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author McArdle, Patrick
author_facet McArdle, Patrick
author_sort McArdle, Patrick
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description Many discussions of the intermolecular interactions in crystal structures concentrate almost exclusively on an analysis of hydrogen bonding. A simple analysis of atom–atom distances is all that is required to detect and analyse hydrogen bonding. However, for typical small-molecule organic crystal structures, hydrogen-bonding interactions are often responsible for less than 50% of the crystal lattice energy. It is more difficult to analyse intermolecular interactions based on van der Waals interactions. The Pixel program can calculate and partition intermolecular energies into Coulombic, polarization, dispersion and repulsion energies, and help put crystal structure discussions onto a rational basis. This Windows PC implementation of Pixel within the Oscail package requires minimal setup and can automatically use GAUSSIAN or Orca for the calculation of electron density.
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spelling pubmed-84936232021-10-18 Pixel calculations using Orca or GAUSSIAN for electron density automated within the Oscail package McArdle, Patrick J Appl Crystallogr Computer Programs Many discussions of the intermolecular interactions in crystal structures concentrate almost exclusively on an analysis of hydrogen bonding. A simple analysis of atom–atom distances is all that is required to detect and analyse hydrogen bonding. However, for typical small-molecule organic crystal structures, hydrogen-bonding interactions are often responsible for less than 50% of the crystal lattice energy. It is more difficult to analyse intermolecular interactions based on van der Waals interactions. The Pixel program can calculate and partition intermolecular energies into Coulombic, polarization, dispersion and repulsion energies, and help put crystal structure discussions onto a rational basis. This Windows PC implementation of Pixel within the Oscail package requires minimal setup and can automatically use GAUSSIAN or Orca for the calculation of electron density. International Union of Crystallography 2021-09-29 /pmc/articles/PMC8493623/ /pubmed/34667454 http://dx.doi.org/10.1107/S1600576721008529 Text en © Patrick McArdle 2021 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Computer Programs
McArdle, Patrick
Pixel calculations using Orca or GAUSSIAN for electron density automated within the Oscail package
title Pixel calculations using Orca or GAUSSIAN for electron density automated within the Oscail package
title_full Pixel calculations using Orca or GAUSSIAN for electron density automated within the Oscail package
title_fullStr Pixel calculations using Orca or GAUSSIAN for electron density automated within the Oscail package
title_full_unstemmed Pixel calculations using Orca or GAUSSIAN for electron density automated within the Oscail package
title_short Pixel calculations using Orca or GAUSSIAN for electron density automated within the Oscail package
title_sort pixel calculations using orca or gaussian for electron density automated within the oscail package
topic Computer Programs
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493623/
https://www.ncbi.nlm.nih.gov/pubmed/34667454
http://dx.doi.org/10.1107/S1600576721008529
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