[16p-K505-1~17] 23.1 Joint Session N "Informatics"

3:30 PM - 3:45 PM JST(6:30 AM - 6:45 AM UTC)Highlighted Presentation

[16p-K505-10] Overviewing the Past Studies of Inorganic Functional Materials by Principal Component Analysis of Chemical Composition Vectors

〇Yukari Katsura^1,2,3, Tomoya Mato¹, Yu Takada¹ (1.NIMS, 2.Univ. of Tsukuba, 3.RIKEN)

Keywords:

informatics,database

We analyzed the chemical composition strings of thermoelectric material samples and magnetic material samples recorded in Starrydata. We applied principal component analysis (PCA) and displayed the distribution of the sample vectors reduced to two and three dimensions. We successfully visualized the distribution of chemical compositions from previous studies on diagrams similar to multicomponent phase diagrams. We have released web systems that allow users to perform these analyses.