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Data on the comprehensive first-principles diffusion study of the aluminum-magnesium system
First-principles calculation of diffusion coefficients between Mg and Al is investigated comprehensively using density functional theory (DFT). The effect of different uncertainty sources arising from first principles calculations has been investigated systematically. These sources include the diffu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096754/ https://www.ncbi.nlm.nih.gov/pubmed/32258269 http://dx.doi.org/10.1016/j.dib.2020.105381 |
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author | Hooshmand, M.S. Zhong, W. Zhao, J.C. Windl, W. Ghazisaeidi, M. |
author_facet | Hooshmand, M.S. Zhong, W. Zhao, J.C. Windl, W. Ghazisaeidi, M. |
author_sort | Hooshmand, M.S. |
collection | PubMed |
description | First-principles calculation of diffusion coefficients between Mg and Al is investigated comprehensively using density functional theory (DFT). The effect of different uncertainty sources arising from first principles calculations has been investigated systematically. These sources include the diffusion model, energetic, entropic and attempt frequency calculations. Variation in self and impurity diffusion coefficients of Mg and Al in stable phases are quantified using different DFT settings and compared with the experiments. Using the optimal DFT settings, diffusion coefficients in metastable phases of Al and Mg are predicted. The dataset refers to “An integrated experimental and computational study of diffusion and atomic mobility of the aluminum-magnesium system” [1]. |
format | Online Article Text |
id | pubmed-7096754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70967542020-03-31 Data on the comprehensive first-principles diffusion study of the aluminum-magnesium system Hooshmand, M.S. Zhong, W. Zhao, J.C. Windl, W. Ghazisaeidi, M. Data Brief Materials Science First-principles calculation of diffusion coefficients between Mg and Al is investigated comprehensively using density functional theory (DFT). The effect of different uncertainty sources arising from first principles calculations has been investigated systematically. These sources include the diffusion model, energetic, entropic and attempt frequency calculations. Variation in self and impurity diffusion coefficients of Mg and Al in stable phases are quantified using different DFT settings and compared with the experiments. Using the optimal DFT settings, diffusion coefficients in metastable phases of Al and Mg are predicted. The dataset refers to “An integrated experimental and computational study of diffusion and atomic mobility of the aluminum-magnesium system” [1]. Elsevier 2020-03-05 /pmc/articles/PMC7096754/ /pubmed/32258269 http://dx.doi.org/10.1016/j.dib.2020.105381 Text en © 2020 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Materials Science Hooshmand, M.S. Zhong, W. Zhao, J.C. Windl, W. Ghazisaeidi, M. Data on the comprehensive first-principles diffusion study of the aluminum-magnesium system |
title | Data on the comprehensive first-principles diffusion study of the aluminum-magnesium system |
title_full | Data on the comprehensive first-principles diffusion study of the aluminum-magnesium system |
title_fullStr | Data on the comprehensive first-principles diffusion study of the aluminum-magnesium system |
title_full_unstemmed | Data on the comprehensive first-principles diffusion study of the aluminum-magnesium system |
title_short | Data on the comprehensive first-principles diffusion study of the aluminum-magnesium system |
title_sort | data on the comprehensive first-principles diffusion study of the aluminum-magnesium system |
topic | Materials Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096754/ https://www.ncbi.nlm.nih.gov/pubmed/32258269 http://dx.doi.org/10.1016/j.dib.2020.105381 |
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