The promising optical and photophysical behavior of inorganic phosphors need to be optimized by highly accurate and trustworthy predictions. To control the wavelength converting mechanism of phosphors, the host lattice materials and crystalline morphology should be thoroughly investigated.
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Machine learning investigation to predict the relationship between photoluminescence and crystalline properties of blue phosphor Ba0.9-xSrxMgAl10O17:Eu2+
Machine learning investigation to predict the relationship between photoluminescence and crystalline properties of blue phosphor Ba0.9-xSrxMgAl10O17: Eu2+
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Advanced materials and devices Artificial intelligence Machine learning Crystalline property Crystalline morphologyTài liệu có liên quan:
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