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Directional pair distribution function for diffraction line profile analysis of atomistic models
The concept of the directional pair distribution function is proposed to describe line broadening effects in powder patterns calculated from atomistic models of nano-polycrystalline microstructures. The approach provides at the same time a description of the size effect for domains of any shape and...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547226/ https://www.ncbi.nlm.nih.gov/pubmed/23396818 http://dx.doi.org/10.1107/S0021889812050601 |
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author | Leonardi, Alberto Leoni, Matteo Scardi, Paolo |
author_facet | Leonardi, Alberto Leoni, Matteo Scardi, Paolo |
author_sort | Leonardi, Alberto |
collection | PubMed |
description | The concept of the directional pair distribution function is proposed to describe line broadening effects in powder patterns calculated from atomistic models of nano-polycrystalline microstructures. The approach provides at the same time a description of the size effect for domains of any shape and a detailed explanation of the strain effect caused by the local atomic displacement. The latter is discussed in terms of different strain types, also accounting for strain field anisotropy and grain boundary effects. The results can in addition be directly read in terms of traditional line profile analysis, such as that based on the Warren–Averbach method. |
format | Online Article Text |
id | pubmed-3547226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-35472262013-02-09 Directional pair distribution function for diffraction line profile analysis of atomistic models Leonardi, Alberto Leoni, Matteo Scardi, Paolo J Appl Crystallogr Research Papers The concept of the directional pair distribution function is proposed to describe line broadening effects in powder patterns calculated from atomistic models of nano-polycrystalline microstructures. The approach provides at the same time a description of the size effect for domains of any shape and a detailed explanation of the strain effect caused by the local atomic displacement. The latter is discussed in terms of different strain types, also accounting for strain field anisotropy and grain boundary effects. The results can in addition be directly read in terms of traditional line profile analysis, such as that based on the Warren–Averbach method. International Union of Crystallography 2013-02-01 2013-01-17 /pmc/articles/PMC3547226/ /pubmed/23396818 http://dx.doi.org/10.1107/S0021889812050601 Text en © Alberto Leonardi et al. 2013 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Research Papers Leonardi, Alberto Leoni, Matteo Scardi, Paolo Directional pair distribution function for diffraction line profile analysis of atomistic models |
title | Directional pair distribution function for diffraction line profile analysis of atomistic models |
title_full | Directional pair distribution function for diffraction line profile analysis of atomistic models |
title_fullStr | Directional pair distribution function for diffraction line profile analysis of atomistic models |
title_full_unstemmed | Directional pair distribution function for diffraction line profile analysis of atomistic models |
title_short | Directional pair distribution function for diffraction line profile analysis of atomistic models |
title_sort | directional pair distribution function for diffraction line profile analysis of atomistic models |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547226/ https://www.ncbi.nlm.nih.gov/pubmed/23396818 http://dx.doi.org/10.1107/S0021889812050601 |
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