[G] Magnetic Functional materials

[183] Machine learning assisted development of Fe₂P-type magnetocaloric compounds
for cryogenic applications

*Anton Bolyachkin¹, Jiawei Lai¹, Ekaterina Dengina^1,2, Noriki Terada¹, Sae Dieb¹, Xin Tang¹, Tadakatsu Ohkubo¹, Hossein Sepehri-Amin^1,2, Kazuhiro Hono^1,2 (1. NIMS、2. Univ. Tsukuba)

Keywords:Magnetocaloric materials、Fe₂P-based compounds、Machine learning

Transition temperature of Fe₂P-type magnetocaloric compounds was reduced into the 73-97 K temperature range by implementing machine learning into the experimental workflow.