The 69th JSAP Spring Meeting 2022

Presentation information

Oral presentation

9 Applied Materials Science » 9.4 Thermoelectric conversion

[24p-E205-1~18] 9.4 Thermoelectric conversion

Thu. Mar 24, 2022 1:30 PM - 6:30 PM E205 (E205)

Mikio Koyano(JAIST), Kei Hayashi(Tohoku Univ.), Sachiko Matsushita(Tokyo Tech)

1:30 PM - 1:45 PM

[24p-E205-1] [Highlight]Inverse Jonker plot analysis of the large-scale thermoelectric properties data on Starrydata

〇(B)Sho Bi1, Yukari Katsura1,2,3, Masaya Kumagai4,5, Kaoru Kimura1 (1.The Univ. of Tokyo, 2.NIMS, 3.RIKEN, 4.SAKURA Internet Inc., 5.Kyoto Univ.)

Keywords:thermoelectric materials, materials informatics, database

In Starrydata, a large-scale database of thermoelectric materials, the composition vectors of 100 dimensions, which were transformed so that the sum of the composition equations is 1, were used to classify into several compound groups by DBSCAN. Polynomial fitting was performed to investigate the relationship between the Seebeck coefficient and electrical conductivity in the Inverse Jonker plot. Focusing on the samples that can be approximated by a linear line, the slope and intercept were examined for the data showing linear behavior, and it was found that each cluster showed a different distribution and was distributed on a straight line.