Finite-temperature interplay of structural stability, chemical complexity, and elastic properties of bcc multicomponent alloys from ab initio trained machine-learning potentials
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%0 Journal Article
%1 2021
%A Gubaev, Konstantin
%A Ikeda, Yuji
%A Tasnádi, Ferenc
%A Neugebauer, Jörg
%A Shapeev, Alexander V.
%A Grabowski, Blazej
%A Körmann, Fritz
%D 2021
%J Physical Review Materials
%K
%N 7
%P 073801
%R 10.1103/PhysRevMaterials.5.073801
%T Finite-temperature interplay of structural stability, chemical complexity, and elastic properties of bcc multicomponent alloys from ab initio trained machine-learning potentials
%U https://doi.org/10.1103/PhysRevMaterials.5.073801
%V 5
@article{2021,
added-at = {2024-03-24T06:13:14.000+0100},
author = {Gubaev, Konstantin and Ikeda, Yuji and Tasnádi, Ferenc and Neugebauer, Jörg and Shapeev, Alexander V. and Grabowski, Blazej and Körmann, Fritz},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f1a418193bef75fcee3f12f2effda19a/yujiikeda},
doi = {10.1103/PhysRevMaterials.5.073801},
interhash = {96bd1c83c2799b27fefaf9a85681b711},
intrahash = {f1a418193bef75fcee3f12f2effda19a},
issn = {2475-9953},
journal = {Physical Review Materials},
keywords = {},
number = 7,
pages = 073801,
timestamp = {2024-03-24T05:13:14.000+0100},
title = {Finite-temperature interplay of structural stability, chemical complexity, and elastic properties of bcc multicomponent alloys from ab initio trained machine-learning potentials},
type = {Journal Article},
url = {https://doi.org/10.1103/PhysRevMaterials.5.073801},
volume = 5,
year = 2021
}
