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![A mini review of machine learning in inorganic phosphors](https://image.oaes.cc/286e108f-5ed4-4e92-8414-2a6707947571/5164.fig.4.jpg)
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.