fig1

A mini review of machine learning in inorganic phosphors

Figure 1. (A) Phosphors predicted by Debye temperature and bandwidth. (B) Borates and sulfides; (C) nitrides and (oxy)halides; (D) silicates and fluorides and (E) aluminates and phosphates. Reprinted with permission from Zhuo et al.[30], copyright 2019, Nature Press.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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