Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning

Conventional trial-error method is inefficient in discovering new functional materials in vast chemical and structural space. Here Lu et al. use machine learning techniques to screen out the most promising lead-free organic-inorganic perovskites with proper bandgap and stability from thousands of th...

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Autores principales:	Shuaihua Lu, Qionghua Zhou, Yixin Ouyang, Yilv Guo, Qiang Li, Jinlan Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/bcb0d28fe3204a178d14fd6593e5ada2
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spelling	oai:doaj.org-article:bcb0d28fe3204a178d14fd6593e5ada22021-12-02T15:33:45ZAccelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning10.1038/s41467-018-05761-w2041-1723https://doaj.org/article/bcb0d28fe3204a178d14fd6593e5ada22018-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05761-whttps://doaj.org/toc/2041-1723Conventional trial-error method is inefficient in discovering new functional materials in vast chemical and structural space. Here Lu et al. use machine learning techniques to screen out the most promising lead-free organic-inorganic perovskites with proper bandgap and stability from thousands of them in a flash.Shuaihua LuQionghua ZhouYixin OuyangYilv GuoQiang LiJinlan WangNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Shuaihua Lu Qionghua Zhou Yixin Ouyang Yilv Guo Qiang Li Jinlan Wang Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning
description	Conventional trial-error method is inefficient in discovering new functional materials in vast chemical and structural space. Here Lu et al. use machine learning techniques to screen out the most promising lead-free organic-inorganic perovskites with proper bandgap and stability from thousands of them in a flash.
format	article
author	Shuaihua Lu Qionghua Zhou Yixin Ouyang Yilv Guo Qiang Li Jinlan Wang
author_facet	Shuaihua Lu Qionghua Zhou Yixin Ouyang Yilv Guo Qiang Li Jinlan Wang
author_sort	Shuaihua Lu
title	Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning
title_short	Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning
title_full	Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning
title_fullStr	Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning
title_full_unstemmed	Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning
title_sort	accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/bcb0d28fe3204a178d14fd6593e5ada2
work_keys_str_mv	AT shuaihualu accelerateddiscoveryofstableleadfreehybridorganicinorganicperovskitesviamachinelearning AT qionghuazhou accelerateddiscoveryofstableleadfreehybridorganicinorganicperovskitesviamachinelearning AT yixinouyang accelerateddiscoveryofstableleadfreehybridorganicinorganicperovskitesviamachinelearning AT yilvguo accelerateddiscoveryofstableleadfreehybridorganicinorganicperovskitesviamachinelearning AT qiangli accelerateddiscoveryofstableleadfreehybridorganicinorganicperovskitesviamachinelearning AT jinlanwang accelerateddiscoveryofstableleadfreehybridorganicinorganicperovskitesviamachinelearning
_version_	1718387047297712128

Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning

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