[16p-B410-1~8] 13.8 Optical properties and light-emitting devices

[16p-B410-5] Exploration of New Green-Emitting Eu²⁺-Activated Phosphors Using Machine Learning

〇Yukinori Koyama¹, Hidekazu Ikeno², Masamichi Harada¹, Shiro Funahashi¹, Takashi Takeda¹, Naoto Hirosaki¹ (1.NIMS, 2.Osaka Metropolitan Univ.)

Keywords:phosphor, machine learning, emission peak

Data-driven studies have been conducted to develop new phosphor materials. As Eu²⁺-activate phosphors show various luminescence colors depending on host compounds, it is still a big challenge to discover new Eu²⁺-activate phosphors with desired luminescence colors. We have developed a machine learning model to predict emission peak wavelengths of Eu²⁺-activate phosphors. In this study, we have explored new green-emitting Eu²⁺-activated phosphors using the machine learning model of the peak wavelength.