The 65h JSAP Spring Meeting, 2018

Presentation information

Oral presentation

11 Superconductivity » 11.1 Fundamental properties

[19p-B401-1~10] 11.1 Fundamental properties

Mon. Mar 19, 2018 1:15 PM - 4:00 PM B401 (53-401)

Kazuhiro Yamaki(Utsunomiya Univ.), Keita Sakuma(Seikei University)

2:15 PM - 2:30 PM

[19p-B401-5] Prediction of superconducting critical temperature Tc by machine-learning algorithm

Kaname Matsumoto1, Tomoya Horide1 (1.Kyutech)

Keywords:superconductor, machine learning, critical temperature

In this research, first, we apply the currently developing machine learning method to the known superconducting substance group, and explore the material controlling factor of the critical temperature Tc. Superconducting material search and prediction of Tc are still very difficult problems. In this research, we tried to create a new method to search for substances with desired Tc by utilizing knowledge and models by machine learning