The 66th JSAP Spring Meeting, 2019

Presentation information

Oral presentation

11 Superconductivity » 11.1 Fundamental properties

[11p-S423-1~18] 11.1 Fundamental properties

Mon. Mar 11, 2019 12:45 PM - 5:45 PM S423 (S423)

Toshinori Ozaki(Kwansei Gakuin Univ.), Masanori Nagao(Univ. Yamanashi), Hiraku Ogino(AIST)

12:45 PM - 1:00 PM

[11p-S423-1] Machine learning modeling for predition of higher Tc superconducting materials

Kaname Matsumoto1, Tomoya Horide1 (1.Kyutech)

Keywords:superconductor, machine learning, critical temperature

We have reported on Tc prediction method based on machine learning so far. Here we introduce some examples of novel superconducting substances that are expected to have high Tc, focusing on ternary systems.