Presentation Information

11:45 AM - 12:00 PM JST(2:45 AM - 3:00 AM UTC)

[22a-13P-11]Construction of a model for exploring high-performance alumina-based thermoelectric materials

〇Rongrong Bi¹, Jun Onoe¹, Toshiaki Nishii², Yusuke Noda³ (1.Nagoya Univ., 2.J-POWER, 3.Okayama Prefectural Univ.)

Keywords:

Thermoelectric properties,first-principles calculation,machine learning

We examined the figure of merits (ZT) for 55 kinds of alumina-based materials that can work at high temperatures using first-principles calculations and Boltzmann transport theory, and optimized a model for exploring high ZT alumina-based materials using machine learning.

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