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High-throughput ab-initio dilute solute diffusion database
We demonstrate automated generation of diffusion databases from high-throughput density functional theory (DFT) calculations. A total of more than 230 dilute solute diffusion systems in Mg, Al, Cu, Ni, Pd, and Pt host lattices have been determined using multi-frequency diffusion models. We apply a c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4950524/ https://www.ncbi.nlm.nih.gov/pubmed/27434308 http://dx.doi.org/10.1038/sdata.2016.54 |
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author | Wu, Henry Mayeshiba, Tam Morgan, Dane |
author_facet | Wu, Henry Mayeshiba, Tam Morgan, Dane |
author_sort | Wu, Henry |
collection | PubMed |
description | We demonstrate automated generation of diffusion databases from high-throughput density functional theory (DFT) calculations. A total of more than 230 dilute solute diffusion systems in Mg, Al, Cu, Ni, Pd, and Pt host lattices have been determined using multi-frequency diffusion models. We apply a correction method for solute diffusion in alloys using experimental and simulated values of host self-diffusivity. We find good agreement with experimental solute diffusion data, obtaining a weighted activation barrier RMS error of 0.176 eV when excluding magnetic solutes in non-magnetic alloys. The compiled database is the largest collection of consistently calculated ab-initio solute diffusion data in the world. |
format | Online Article Text |
id | pubmed-4950524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49505242016-07-28 High-throughput ab-initio dilute solute diffusion database Wu, Henry Mayeshiba, Tam Morgan, Dane Sci Data Data Descriptor We demonstrate automated generation of diffusion databases from high-throughput density functional theory (DFT) calculations. A total of more than 230 dilute solute diffusion systems in Mg, Al, Cu, Ni, Pd, and Pt host lattices have been determined using multi-frequency diffusion models. We apply a correction method for solute diffusion in alloys using experimental and simulated values of host self-diffusivity. We find good agreement with experimental solute diffusion data, obtaining a weighted activation barrier RMS error of 0.176 eV when excluding magnetic solutes in non-magnetic alloys. The compiled database is the largest collection of consistently calculated ab-initio solute diffusion data in the world. Nature Publishing Group 2016-07-19 /pmc/articles/PMC4950524/ /pubmed/27434308 http://dx.doi.org/10.1038/sdata.2016.54 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Wu, Henry Mayeshiba, Tam Morgan, Dane High-throughput ab-initio dilute solute diffusion database |
title | High-throughput ab-initio dilute solute diffusion database |
title_full | High-throughput ab-initio dilute solute diffusion database |
title_fullStr | High-throughput ab-initio dilute solute diffusion database |
title_full_unstemmed | High-throughput ab-initio dilute solute diffusion database |
title_short | High-throughput ab-initio dilute solute diffusion database |
title_sort | high-throughput ab-initio dilute solute diffusion database |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4950524/ https://www.ncbi.nlm.nih.gov/pubmed/27434308 http://dx.doi.org/10.1038/sdata.2016.54 |
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