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説明:

New phosphor has been consistently demanded for advances in solid state lighting and display. Conventional exploring experiment with trial and error for new phosphor take much time. If a phosphor host suitable to the target luminescent property can be proposed from computational science, the
development speed of new phosphors will significantly increase, and unexpected/overlooked compositions can be proposed in the candidates. In this paper, as more practical approach for developing new phosphor having target luminescent property, the combination of experiment and machine learning is reviewed on the topics of emission wavelength, full width at half maximum (FWHM) of emission spectrum, temperature dependence of emission spectrum (thermal quenching), new phosphor with new chemical composition/new crystal structure, and high-throughput experiment.

権利情報:

• Creative Commons BY Attribution 4.0 International
  This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

キーワード: Phosphor, High-throughput experiment, Machine learning, Local structure, Europium

刊行年月日: 2024-12-31

出版者: Informa UK Limited

掲載誌:

• Science and Technology of Advanced Materials (ISSN: 14686996) vol. 25 issue. 1

研究助成金:

• JST JPMJCR19J2 (CREST)

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1080/14686996.2024.2421761

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更新時刻: 2024-12-05 16:30:28 +0900

MDRでの公開時刻: 2024-12-05 16:30:30 +0900