[24a-12P-1~8] 11.1 Fundamental properties

10:45 AM - 11:00 AM JST(1:45 AM - 2:00 AM UTC)Presentation by Applicant for JSAP Young Scientists Presentation Award

[24a-12P-5] Prediction of phase formation in layered perovskite oxyarsenides

〇(B)Sonosuke Kono^1,2, Yoichi Higashi², Yuki Iwasa², Izumi Hase², Ryo Maezono³, Taichiro Nishio¹, Hiraku Ogino², Kenta Hongo³ (1.Tokyo Univ. of Sci., 2.AIST, 3.JAIST)

Keywords:

prediction of phase formation,layered perovskite oxyarsenides,machine learning

In this study, we develop a machine learning model to predict phase formation using hundreds of experimental data on phase formation. To predict the phase formation of new materials, we calculated the phase formation determinants of layered perovskite oxyarsenides using SISSO (Sure Independence Screening and Sparsifying Operator), a type of symbolic regression that is expected to have high extrapolation performance. The experimental data on phase formation were classified. In this talk, we will present the details and predict the phase formation of new materials in layered perovskite oxyarsenides.