2021 Fall Meeting

Presentation information

Oral presentation

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

[1D05-09] Fuel Development Using AI & Machine Learning

Wed. Sep 8, 2021 2:45 PM - 4:10 PM Room D

chair: Kenji Konashi (Tohoku Univ.)

3:30 PM - 3:45 PM

[1D08] Acceleration of nuclear fuel development research incorporating artificial intelligence (AI) technology

(4)Study plan of structural analysis for oxide melts.

*Yuji Arita1, Keisuke Niino1, Tsuyoshi Yaita2, Hajime Tanida2, Tohru Kobayashi2, Kyoichi Morimoto2, Masashi Watanabe2, Hiromichi Watanabe3, Toru Higuchi4, Kenji Konashi5 (1. Univ. of Fukui, 2. JAEA, 3. AIST, 4. NFD, 5. Tohoku Univ.)

Keywords:Oxide melts, structure analysis

To analyze the micro structure of oxide melts, it's necessary to maintain a sample up to 3000 K and take XAFS spectra. In this study, the pulse heating apparatus was improved to measure the high-temperature XAFS spectra. The XAFS measurement will be conducted at a synchrotron radiation facility in SPring-8.