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The Ag–Li system's experimental and ab initio thermodynamic dataset

The Ag–Li system was analysed using first-principles calculations 10.1016/j.jallcom.2019.152811 [1]. The method included using density functional theory to optimize the crystal structure of the phases constituting the binary phase diagram by relaxing atomic positions, volume, and shape. The optimize...

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Autores principales: Braga, M. Helena, Dębski, Adam, Terlicka, Sylwia, Gąsior, Wladyslaw, Góral, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926103/
https://www.ncbi.nlm.nih.gov/pubmed/31890791
http://dx.doi.org/10.1016/j.dib.2019.104939
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author Braga, M. Helena
Dębski, Adam
Terlicka, Sylwia
Gąsior, Wladyslaw
Góral, Anna
author_facet Braga, M. Helena
Dębski, Adam
Terlicka, Sylwia
Gąsior, Wladyslaw
Góral, Anna
author_sort Braga, M. Helena
collection PubMed
description The Ag–Li system was analysed using first-principles calculations 10.1016/j.jallcom.2019.152811 [1]. The method included using density functional theory to optimize the crystal structure of the phases constituting the binary phase diagram by relaxing atomic positions, volume, and shape. The optimized structures were subsequently used to calculate thermodynamic properties at different temperatures; by determining the zero-point energy, the vibrational internal energy, and the entropy, the heat capacity at constant volume was obtained as well as the phases' stability limits. Furthermore, optimized structures were used to calculate the XRD patterns and to compare them with experimental data. All the referred data are now accessible to researchers and industrials demanding to work with binary and higher-order systems that include Ag and Li, for example, for energy storage. Binaries should be well assessed prior to higher-order phase diagrams and in that resides additional usefulness to this data.
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spelling pubmed-69261032019-12-30 The Ag–Li system's experimental and ab initio thermodynamic dataset Braga, M. Helena Dębski, Adam Terlicka, Sylwia Gąsior, Wladyslaw Góral, Anna Data Brief Materials Science The Ag–Li system was analysed using first-principles calculations 10.1016/j.jallcom.2019.152811 [1]. The method included using density functional theory to optimize the crystal structure of the phases constituting the binary phase diagram by relaxing atomic positions, volume, and shape. The optimized structures were subsequently used to calculate thermodynamic properties at different temperatures; by determining the zero-point energy, the vibrational internal energy, and the entropy, the heat capacity at constant volume was obtained as well as the phases' stability limits. Furthermore, optimized structures were used to calculate the XRD patterns and to compare them with experimental data. All the referred data are now accessible to researchers and industrials demanding to work with binary and higher-order systems that include Ag and Li, for example, for energy storage. Binaries should be well assessed prior to higher-order phase diagrams and in that resides additional usefulness to this data. Elsevier 2019-12-05 /pmc/articles/PMC6926103/ /pubmed/31890791 http://dx.doi.org/10.1016/j.dib.2019.104939 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Materials Science
Braga, M. Helena
Dębski, Adam
Terlicka, Sylwia
Gąsior, Wladyslaw
Góral, Anna
The Ag–Li system's experimental and ab initio thermodynamic dataset
title The Ag–Li system's experimental and ab initio thermodynamic dataset
title_full The Ag–Li system's experimental and ab initio thermodynamic dataset
title_fullStr The Ag–Li system's experimental and ab initio thermodynamic dataset
title_full_unstemmed The Ag–Li system's experimental and ab initio thermodynamic dataset
title_short The Ag–Li system's experimental and ab initio thermodynamic dataset
title_sort ag–li system's experimental and ab initio thermodynamic dataset
topic Materials Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926103/
https://www.ncbi.nlm.nih.gov/pubmed/31890791
http://dx.doi.org/10.1016/j.dib.2019.104939
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