[1E05-09] Mechanical Learning, AI Aplication

[1E05] Development of novel nuclear fuel materials with high thermal conductivity by materials informatics

*Yuji Miyawaki¹, Yuji Ohishi¹, Hiroaki Muta¹, Masaya Kumagai^2,3, Ken Kurosaki³ (1. Osaka Univ., 2. SAKURA internet, 3. Kyoto Univ.)

Keywords:materials informatics, nuclear fuel materials, uranium compounds, UFe3B2

In this study, a high-density single-phase UFe₃B₂ sample was synthesized by arc melting and spark plasma sintering. UFe₃B₂ is one of the uranium compounds which were predicted to have high thermal conductivity by machine learning. Temperature dependence of thermal conductivity of UFe₃B₂ was evaluated by laser flash method and compared with predicted temperature dependence by machine learning.