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Abstract
This paper reports the use of machine learning to predict materials with a large magnetocaloric effect (MCE), leading to the experimental discovery of a gigantic MCE in HoB₂ near the hydrogen liquefaction temperature. HoB₂ exhibits a magnetic entropy change of 40.1 J kg⁻¹ K⁻¹ (0.35 J cm⁻³ K⁻¹) for a field change of 5 T, making it a promising candidate for hydrogen liquefaction and low-temperature magnetic cooling applications.
Publisher
NPG Asia Materials
Published On
Mar 17, 2020
Authors
Pedro Baptista de Castro, Kensei Terashima, Takafumi D Yamamoto, Zhufeng Hou, Suguru Iwasaki, Ryo Matsumoto, Shintaro Adachi, Yoshito Saito, Peng Song, Hiroyuki Takeya, Yoshihiko Takano
Tags
machine learning
magnetocaloric effect
HoB₂
hydrogen liquefaction
magnetic entropy
low-temperature cooling
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