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

Rare-earth substituted inorganic phosphors are critical for solid state lighting. New phosphors are traditionally identified through chemical intuition or trial and error synthesis, inhibiting the discovery of potential high-performance materials. Here, we merge a support vector machine regression m...

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Detalles Bibliográficos
Autores principales: Zhuo, Ya, Mansouri Tehrani, Aria, Oliynyk, Anton O., Duke, Anna C., Brgoch, Jakoah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197245/
https://www.ncbi.nlm.nih.gov/pubmed/30348949
http://dx.doi.org/10.1038/s41467-018-06625-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197245/
https://www.ncbi.nlm.nih.gov/pubmed/30348949
http://dx.doi.org/10.1038/s41467-018-06625-z

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