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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| 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 |