Experimental exploration of ErB2 and SHAP analysis on a machine-learned model of magnetocaloric materials for materials design

Experimental exploration of ErB2 and SHAP analysis on a machine-learned model of magnetocaloric materials for materials design

Stimulated by a recent report of a giant magnetocaloric effect in HoB2 found via machine-learning predictions, we have explored the magnetocaloric properties of a related compound ErB2 that has remained the last ferromagnetic material among the rare-earth diboride (REB2) family with unreported magne...

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Bibliographic Details
Main Authors: Kensei Terashima, Pedro Baptista de Castro, Akiko Takahashi Saito, Takafumi D Yamamoto, Ryo Matsumoto, Hiroyuki Takeya, Yoshihiko Takano
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Science and Technology of Advanced Materials: Methods
Subjects:
magnetocaloric materials
machine learning
data-driven materials search
Online Access:http://dx.doi.org/10.1080/27660400.2023.2217474

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