[15p-S2_204-1~18] 23.1 Joint Session N "Informatics"

6:15 PM - 6:30 PM JST(9:15 AM - 9:30 AM UTC)

[15p-S2_204-18] Clustering and Visualization for Materials Discovery in a Dielectric Materials Database

〇Noriaki Ozaki¹, Tomoki Murata¹, Eiji Koyama², Tomoya Mato², Ryusuke Misawa¹, Yukari Katsura^2,3,4 (1.Murata Mfg., 2.NIMS, 3.University of Tsukuba, 4.RIKEN AIP)

Keywords:

materials informatics,database,materials exploration

Due to the electrification of mobility and the growing demand for data centers, dielectric materials for MLCCs are required to exhibit increasingly high performance. In this study, we applied soft clustering and visualization based on dielectric permittivity to a large-scale materials database constructed in the StarryData2 web system. By organizing relationships among materials in a property-relevant representation space, we demonstrate that materials with limited reported data can be identified as potential candidates for novel dielectric materials.