Materials informatics for the screening of multi-principal elements and high-entropy alloys

The identification of high entropy alloys is challenging given the vastness of the compositional space associated with these systems. Here the authors propose a supervised learning strategy for the efficient screening of high entropy alloys, whose hardness predictions are validated by experiments.

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Autores principales:	J. M. Rickman, H. M. Chan, M. P. Harmer, J. A. Smeltzer, C. J. Marvel, A. Roy, G. Balasubramanian
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/fc87f74cda1d42ca8e000180ad4c8e7c
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spelling	oai:doaj.org-article:fc87f74cda1d42ca8e000180ad4c8e7c2021-12-02T14:38:57ZMaterials informatics for the screening of multi-principal elements and high-entropy alloys10.1038/s41467-019-10533-12041-1723https://doaj.org/article/fc87f74cda1d42ca8e000180ad4c8e7c2019-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10533-1https://doaj.org/toc/2041-1723The identification of high entropy alloys is challenging given the vastness of the compositional space associated with these systems. Here the authors propose a supervised learning strategy for the efficient screening of high entropy alloys, whose hardness predictions are validated by experiments.J. M. RickmanH. M. ChanM. P. HarmerJ. A. SmeltzerC. J. MarvelA. RoyG. BalasubramanianNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q J. M. Rickman H. M. Chan M. P. Harmer J. A. Smeltzer C. J. Marvel A. Roy G. Balasubramanian Materials informatics for the screening of multi-principal elements and high-entropy alloys
description	The identification of high entropy alloys is challenging given the vastness of the compositional space associated with these systems. Here the authors propose a supervised learning strategy for the efficient screening of high entropy alloys, whose hardness predictions are validated by experiments.
format	article
author	J. M. Rickman H. M. Chan M. P. Harmer J. A. Smeltzer C. J. Marvel A. Roy G. Balasubramanian
author_facet	J. M. Rickman H. M. Chan M. P. Harmer J. A. Smeltzer C. J. Marvel A. Roy G. Balasubramanian
author_sort	J. M. Rickman
title	Materials informatics for the screening of multi-principal elements and high-entropy alloys
title_short	Materials informatics for the screening of multi-principal elements and high-entropy alloys
title_full	Materials informatics for the screening of multi-principal elements and high-entropy alloys
title_fullStr	Materials informatics for the screening of multi-principal elements and high-entropy alloys
title_full_unstemmed	Materials informatics for the screening of multi-principal elements and high-entropy alloys
title_sort	materials informatics for the screening of multi-principal elements and high-entropy alloys
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/fc87f74cda1d42ca8e000180ad4c8e7c
work_keys_str_mv	AT jmrickman materialsinformaticsforthescreeningofmultiprincipalelementsandhighentropyalloys AT hmchan materialsinformaticsforthescreeningofmultiprincipalelementsandhighentropyalloys AT mpharmer materialsinformaticsforthescreeningofmultiprincipalelementsandhighentropyalloys AT jasmeltzer materialsinformaticsforthescreeningofmultiprincipalelementsandhighentropyalloys AT cjmarvel materialsinformaticsforthescreeningofmultiprincipalelementsandhighentropyalloys AT aroy materialsinformaticsforthescreeningofmultiprincipalelementsandhighentropyalloys AT gbalasubramanian materialsinformaticsforthescreeningofmultiprincipalelementsandhighentropyalloys
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Materials informatics for the screening of multi-principal elements and high-entropy alloys

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