2022 Fall Meeting

Presentation information

Oral presentation

V. Nuclear Fuel Cycle and Nuclear Materials » 501-1 Basic Properties

[1E05-09] Mechanical Learning, AI Aplication

Wed. Sep 7, 2022 3:45 PM - 5:00 PM Room E (E1 Bildg.2F No.24)

Chair:Kenichi Hashizume(Kyusyu Univ.)

4:15 PM - 4:30 PM

[1E07] Acceleration of nuclear fuel development research incorporating artificial intelligence (AI) technology

(5) Overview

*Kenji Konashi1, Yuji Arita2, Tsuyoshi Yaita3, Hiromichi Watanabe4, Kyoichi Morimoto3, Kazuki Mori5, Nobuhiko Kato5 (1. Tohoku University, 2. Fukui University, 3. JAEA, 4. AIST, 5. CTC)

Keywords:nuclear fuel, artificial intelligence

The physical properties of nuclear fuel at high temperatures are evaluated using a research method called
the data science. To confirm the validity of this method, a high temperature experiment using synchrotron
radiation will be carried out.