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Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data
This paper explores the capability of using the DFT-D ab initio random structure searching (AIRSS) method to generate crystal structures of organic molecular materials, focusing on a system (m-aminobenzoic acid; m-ABA) that is known from experimental studies to exhibit abundant polymorphism. Within...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779078/ https://www.ncbi.nlm.nih.gov/pubmed/28944393 http://dx.doi.org/10.1039/c7cp04186a |
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author | Zilka, Miri Dudenko, Dmytro V. Hughes, Colan E. Williams, P. Andrew Sturniolo, Simone Franks, W. Trent Pickard, Chris J. Yates, Jonathan R. Harris, Kenneth D. M. Brown, Steven P. |
author_facet | Zilka, Miri Dudenko, Dmytro V. Hughes, Colan E. Williams, P. Andrew Sturniolo, Simone Franks, W. Trent Pickard, Chris J. Yates, Jonathan R. Harris, Kenneth D. M. Brown, Steven P. |
author_sort | Zilka, Miri |
collection | PubMed |
description | This paper explores the capability of using the DFT-D ab initio random structure searching (AIRSS) method to generate crystal structures of organic molecular materials, focusing on a system (m-aminobenzoic acid; m-ABA) that is known from experimental studies to exhibit abundant polymorphism. Within the structural constraints selected for the AIRSS calculations (specifically, centrosymmetric structures with Z = 4 for zwitterionic m-ABA molecules), the method is shown to successfully generate the two known polymorphs of m-ABA (form III and form IV) that have these structural features. We highlight various issues that are encountered in comparing crystal structures generated by AIRSS to experimental powder X-ray diffraction (XRD) data and solid-state magic-angle spinning (MAS) NMR data, demonstrating successful fitting for some of the lowest energy structures from the AIRSS calculations against experimental low-temperature powder XRD data for known polymorphs of m-ABA, and showing that comparison of computed and experimental solid-state NMR parameters allows different hydrogen-bonding motifs to be discriminated. |
format | Online Article Text |
id | pubmed-5779078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-57790782018-02-15 Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data Zilka, Miri Dudenko, Dmytro V. Hughes, Colan E. Williams, P. Andrew Sturniolo, Simone Franks, W. Trent Pickard, Chris J. Yates, Jonathan R. Harris, Kenneth D. M. Brown, Steven P. Phys Chem Chem Phys Chemistry This paper explores the capability of using the DFT-D ab initio random structure searching (AIRSS) method to generate crystal structures of organic molecular materials, focusing on a system (m-aminobenzoic acid; m-ABA) that is known from experimental studies to exhibit abundant polymorphism. Within the structural constraints selected for the AIRSS calculations (specifically, centrosymmetric structures with Z = 4 for zwitterionic m-ABA molecules), the method is shown to successfully generate the two known polymorphs of m-ABA (form III and form IV) that have these structural features. We highlight various issues that are encountered in comparing crystal structures generated by AIRSS to experimental powder X-ray diffraction (XRD) data and solid-state magic-angle spinning (MAS) NMR data, demonstrating successful fitting for some of the lowest energy structures from the AIRSS calculations against experimental low-temperature powder XRD data for known polymorphs of m-ABA, and showing that comparison of computed and experimental solid-state NMR parameters allows different hydrogen-bonding motifs to be discriminated. Royal Society of Chemistry 2017-10-14 2017-09-25 /pmc/articles/PMC5779078/ /pubmed/28944393 http://dx.doi.org/10.1039/c7cp04186a Text en This journal is © The Royal Society of Chemistry 2017 http://creativecommons.org/licenses/by/3.0/ This article is freely available. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence (CC BY 3.0) |
spellingShingle | Chemistry Zilka, Miri Dudenko, Dmytro V. Hughes, Colan E. Williams, P. Andrew Sturniolo, Simone Franks, W. Trent Pickard, Chris J. Yates, Jonathan R. Harris, Kenneth D. M. Brown, Steven P. Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data |
title |
Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data
|
title_full |
Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data
|
title_fullStr |
Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data
|
title_full_unstemmed |
Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data
|
title_short |
Ab initio random structure searching of organic molecular solids: assessment and validation against experimental data
|
title_sort | ab initio random structure searching of organic molecular solids: assessment and validation against experimental data |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779078/ https://www.ncbi.nlm.nih.gov/pubmed/28944393 http://dx.doi.org/10.1039/c7cp04186a |
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