fig4

A mini review of machine learning in inorganic phosphors

Figure 4. (A) Iteration loop of phosphor design accelerated by ML. The design loop includes data collection, ML, search space, adaptive experimental design, experiment and measurement. (B) Experimental T60 as a function of iteration number. (C) Spatial distribution of experimental wavelength and experimental T60. (D) Emission spectra and (E) temperature-dependent emission spectra of Lu1.5Sr1.5Al3.5Si1.5O12:Ce. Reprinted with permission from Jiang et al.[39], copyright 2022, American Chemical Society.

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