Magnetic refrigeration, which is based on the magnetocaloric effect (MCE), is an emerging pathway for environment-friendly refrigeration. In this work, we performed a machine learning based approach to discover experimentally that HoB2 exhibits |ΔSM| = 40.1 J/kg K (0.35 J/cm−3 K) for μ0ΔΗ = 5 Τ at second order transition of TC ~ 15 K, having the largest |ΔSM| around this temperature region. Thus, HoB2 is a highly suitable material for hydrogen liquefaction and low-temperature magnetic cooling applications. Our study also sheds light on the machine learning approach as an effective method for searching functional materials characterized by complex physical properties.
- Pedro Baptista de Castro
- Kensei Terashima
- Yoshihiko Takano
