[13p-B408-1~16] 11.1 Fundamental properties

[13p-B408-7] Search for higher Tc superconductors by machine learning quaternary system

Hiroyuki Nakashima¹, 〇Kaname Matsumoto¹, Tomoya Horide¹ (1.Kyutech)

Keywords:superconductor, machine learning, critical temperature

We are developing a new method to efficiently search for unknown superconducting materials with high Tc by utilizing a superconductivity database and a predictive model obtained by machine learning, a type of artificial intelligence technology. This time, we attempted to construct a Tc prediction model by expanding the range of the quaternary material search space including a copper oxide superconductor with a higher Tc.