[17p-B1-1~11] 13.2 Exploratory Materials, Physical Properties, Devices

3:45 PM - 4:00 PM JST(6:45 AM - 7:00 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[17p-B1-11] Exploration of novel oxide/nitride crystal structures of narrow band phosphors
by deep learning generative model

〇Masaya Abe¹, Hiromitsu Takaba², Masaya Miyagawa² (1.Kogakuin Univ., 2.Dept of Env. Chem&Chem.Eng.,Kogakuin Unv.)

Keywords:

machine learning,phosphor

Recently, narrow band phosphors have been developed and are expected to be applied in the display field because of their excellent luminescence with a small emission bandwidth at half-width and high purity. However, the number of narrowband phosphors developed is limited, and it takes a great deal of effort and time to develop new phosphors through trial-and-error experiments. Therefore, in this study, we attempted to search for narrowband fluorophores by learning from a crystal structure database by constructing a generative model with an ingenious method for calculating crystal structure features.