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Description:

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.

Rights:

• 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.

Keyword: Phosphor, High-throughput experiment, Machine learning, Local structure, Europium

Date published: 2024-12-31

Publisher: Informa UK Limited

Journal:

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

Funding:

• JST JPMJCR19J2 (CREST)

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1080/14686996.2024.2421761

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Updated at: 2024-12-05 16:30:28 +0900

Published on MDR: 2024-12-05 16:30:30 +0900