Identifying an efficient, thermally robust inorganic phosphor host via machine learning

Identifying phosphors with good thermal stability and quantum efficiency is a prerequisite to improve the performance of white LED light sources. Here, a combined machine learning and density functional theory method is introduced to identify next generation inorganic phosphors.

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Autores principales:	Ya Zhuo, Aria Mansouri Tehrani, Anton O. Oliynyk, Anna C. Duke, Jakoah Brgoch
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/3702a80a2f9b445381a72ddd2dbb5fc9
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spelling	oai:doaj.org-article:3702a80a2f9b445381a72ddd2dbb5fc92021-12-02T14:38:50ZIdentifying an efficient, thermally robust inorganic phosphor host via machine learning10.1038/s41467-018-06625-z2041-1723https://doaj.org/article/3702a80a2f9b445381a72ddd2dbb5fc92018-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06625-zhttps://doaj.org/toc/2041-1723Identifying phosphors with good thermal stability and quantum efficiency is a prerequisite to improve the performance of white LED light sources. Here, a combined machine learning and density functional theory method is introduced to identify next generation inorganic phosphors.Ya ZhuoAria Mansouri TehraniAnton O. OliynykAnna C. DukeJakoah BrgochNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ya Zhuo Aria Mansouri Tehrani Anton O. Oliynyk Anna C. Duke Jakoah Brgoch Identifying an efficient, thermally robust inorganic phosphor host via machine learning
description	Identifying phosphors with good thermal stability and quantum efficiency is a prerequisite to improve the performance of white LED light sources. Here, a combined machine learning and density functional theory method is introduced to identify next generation inorganic phosphors.
format	article
author	Ya Zhuo Aria Mansouri Tehrani Anton O. Oliynyk Anna C. Duke Jakoah Brgoch
author_facet	Ya Zhuo Aria Mansouri Tehrani Anton O. Oliynyk Anna C. Duke Jakoah Brgoch
author_sort	Ya Zhuo
title	Identifying an efficient, thermally robust inorganic phosphor host via machine learning
title_short	Identifying an efficient, thermally robust inorganic phosphor host via machine learning
title_full	Identifying an efficient, thermally robust inorganic phosphor host via machine learning
title_fullStr	Identifying an efficient, thermally robust inorganic phosphor host via machine learning
title_full_unstemmed	Identifying an efficient, thermally robust inorganic phosphor host via machine learning
title_sort	identifying an efficient, thermally robust inorganic phosphor host via machine learning
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/3702a80a2f9b445381a72ddd2dbb5fc9
work_keys_str_mv	AT yazhuo identifyinganefficientthermallyrobustinorganicphosphorhostviamachinelearning AT ariamansouritehrani identifyinganefficientthermallyrobustinorganicphosphorhostviamachinelearning AT antonooliynyk identifyinganefficientthermallyrobustinorganicphosphorhostviamachinelearning AT annacduke identifyinganefficientthermallyrobustinorganicphosphorhostviamachinelearning AT jakoahbrgoch identifyinganefficientthermallyrobustinorganicphosphorhostviamachinelearning
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Identifying an efficient, thermally robust inorganic phosphor host via machine learning

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