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inserexs: reflection choice software for resonant elastic X-ray scattering
This paper presents inserexs, an open-source computer program that aims to pre-evaluate the different reflections for resonant elastic X-ray scattering (REXS) diffraction experiments. REXS is an extremely versatile technique that can provide positional and occupational information about the atoms pr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241054/ https://www.ncbi.nlm.nih.gov/pubmed/37284260 http://dx.doi.org/10.1107/S1600576723002212 |
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author | Peña Corredor, Antonio Viart, Nathalie Lefevre, Christophe |
author_facet | Peña Corredor, Antonio Viart, Nathalie Lefevre, Christophe |
author_sort | Peña Corredor, Antonio |
collection | PubMed |
description | This paper presents inserexs, an open-source computer program that aims to pre-evaluate the different reflections for resonant elastic X-ray scattering (REXS) diffraction experiments. REXS is an extremely versatile technique that can provide positional and occupational information about the atoms present in a crystal. inserexs was conceived to help REXS experimentalists know beforehand which reflections to choose to determine a parameter of interest. Prior work has already proven this to be useful in the determination of atomic positions in oxide thin films. inserexs allows generalization to any given system and aims to popularize resonant diffraction as an alternative technique to improve the resolution of crystalline structures. |
format | Online Article Text |
id | pubmed-10241054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-102410542023-06-06 inserexs: reflection choice software for resonant elastic X-ray scattering Peña Corredor, Antonio Viart, Nathalie Lefevre, Christophe J Appl Crystallogr Computer Programs This paper presents inserexs, an open-source computer program that aims to pre-evaluate the different reflections for resonant elastic X-ray scattering (REXS) diffraction experiments. REXS is an extremely versatile technique that can provide positional and occupational information about the atoms present in a crystal. inserexs was conceived to help REXS experimentalists know beforehand which reflections to choose to determine a parameter of interest. Prior work has already proven this to be useful in the determination of atomic positions in oxide thin films. inserexs allows generalization to any given system and aims to popularize resonant diffraction as an alternative technique to improve the resolution of crystalline structures. International Union of Crystallography 2023-04-13 /pmc/articles/PMC10241054/ /pubmed/37284260 http://dx.doi.org/10.1107/S1600576723002212 Text en © Antonio Peña Corredor et al. 2023 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 Peña Corredor, Antonio Viart, Nathalie Lefevre, Christophe inserexs: reflection choice software for resonant elastic X-ray scattering |
title |
inserexs: reflection choice software for resonant elastic X-ray scattering |
title_full |
inserexs: reflection choice software for resonant elastic X-ray scattering |
title_fullStr |
inserexs: reflection choice software for resonant elastic X-ray scattering |
title_full_unstemmed |
inserexs: reflection choice software for resonant elastic X-ray scattering |
title_short |
inserexs: reflection choice software for resonant elastic X-ray scattering |
title_sort | inserexs: reflection choice software for resonant elastic x-ray scattering |
topic | Computer Programs |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241054/ https://www.ncbi.nlm.nih.gov/pubmed/37284260 http://dx.doi.org/10.1107/S1600576723002212 |
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