[10a-Z09-1~9] 23.1 合同セッションN「インフォマティクス応用」

▼ [10a-Z09-5] Discovery of gigantic magnetocaloric effect in HoB₂ guided by machine-learning.

〇Pedro Castro^1,2、Kensei Terashima¹、Takafumi D Yamamoto¹、Zhufeng Hou³、Suguru Iwasaki⁴、Hiroyuki Takeya¹、Yoshihiko Takano^1,2 (1.NIMS、2.Univ. of Tsukuba、3.Chinese Acad. Sci、4.Hokkaido Univ.)

キーワード：magnetocaloric effect, machine learning, magnetic refrigeration

In this talk, we will discuss the process of building a machine learning model for exploration of magnetocaloric materials. We will talk about the use of ML as guide for search of materials, and our recent discovery of the gigantic magnetocaloric effect in HoB₂, at T_C = 15 K, exhibiting the highest volumetric magnetic entropy change for all of second-order phase transition materials in the temperature range of 4.2 K to 77 K.