[22p-M206-1~16] 23.1 Joint Session N "Informatics"

△ [22p-M206-3] Optimization of Composition and Process Condition for Lithium-Ion Conductors

〇Akito Maruo^1,3, Homma Kenji¹, Fujiwara Kaito², Usui Yuki², Yoshinaga Masashi², Hideyuki Jippo¹ (1.Fujitsu, 2.Tokai Univ., 3.Hokkaido Univ.)

Keywords:lithium-Ion conductor, process optimization, gaussian process regression

In the search for lithium-ion conductors, it has been reported that ionic conductivity is three times higher than previously achieved by optimizing the composition ratio. The properties of mixtures are affected not only by the composition ratio but also by the process conditions during synthesis, with temperature being a particularly important factor. Therefore, in this report, we propose a method to optimize the composition ratio including the process conditions. The optimization is controlled by using prior knowledge of the melting point as a constraint model. In addition, multiple points are recommended on the same process plane to improve the efficiency of the experimental process.