Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning

Experimental search for high-temperature ferroelectric perovskites is challenging due to the vast chemical space and lack of predictive guidelines. Here the authors demonstrate a two-step machine learning approach to sequentially guide experiments in search of promising perovskites with high ferroel...

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Autores principales:	Prasanna V. Balachandran, Benjamin Kowalski, Alp Sehirlioglu, Turab Lookman
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/cc660229b2ca4dd09848e4c55c3589a5
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spelling	oai:doaj.org-article:cc660229b2ca4dd09848e4c55c3589a52021-12-02T15:34:45ZExperimental search for high-temperature ferroelectric perovskites guided by two-step machine learning10.1038/s41467-018-03821-92041-1723https://doaj.org/article/cc660229b2ca4dd09848e4c55c3589a52018-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03821-9https://doaj.org/toc/2041-1723Experimental search for high-temperature ferroelectric perovskites is challenging due to the vast chemical space and lack of predictive guidelines. Here the authors demonstrate a two-step machine learning approach to sequentially guide experiments in search of promising perovskites with high ferroelectric Curie temperature.Prasanna V. BalachandranBenjamin KowalskiAlp SehirliogluTurab LookmanNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Prasanna V. Balachandran Benjamin Kowalski Alp Sehirlioglu Turab Lookman Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning
description	Experimental search for high-temperature ferroelectric perovskites is challenging due to the vast chemical space and lack of predictive guidelines. Here the authors demonstrate a two-step machine learning approach to sequentially guide experiments in search of promising perovskites with high ferroelectric Curie temperature.
format	article
author	Prasanna V. Balachandran Benjamin Kowalski Alp Sehirlioglu Turab Lookman
author_facet	Prasanna V. Balachandran Benjamin Kowalski Alp Sehirlioglu Turab Lookman
author_sort	Prasanna V. Balachandran
title	Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning
title_short	Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning
title_full	Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning
title_fullStr	Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning
title_full_unstemmed	Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning
title_sort	experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/cc660229b2ca4dd09848e4c55c3589a5
work_keys_str_mv	AT prasannavbalachandran experimentalsearchforhightemperatureferroelectricperovskitesguidedbytwostepmachinelearning AT benjaminkowalski experimentalsearchforhightemperatureferroelectricperovskitesguidedbytwostepmachinelearning AT alpsehirlioglu experimentalsearchforhightemperatureferroelectricperovskitesguidedbytwostepmachinelearning AT turablookman experimentalsearchforhightemperatureferroelectricperovskitesguidedbytwostepmachinelearning
_version_	1718386745453576192

Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning

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