Oral presentation
[2E01-04] Fuel Research with Data Science and Machine Learning, Fast Reactor Recycle
Wed. Mar 27, 2024 9:30 AM - 10:30 AM Room E (21Bildg.3F 21-313)
Chair:Shun Hirooka(JAEA)
9:30 AM - 9:45 AM
[2E01] New Developments in Nuclear Fuel Research through Integration with Data Science
(8) Harnessing Machine Learning for the Discovery of High Thermal Conductivity Fuel Candidates
*Yifan Sun1, Masaya Kumagai1, Mingyu Jin1, Eriko Sato1, Masako Aoki1, Yuji Ohishi2, Ken Kurosaki1,3 (1. Kyoto Univ., 2. Osaka Univ., 3. Univ. of Fukui)
9:45 AM - 10:00 AM
[2E02] New Developments in Nuclear Fuel Research through Integration with Data Science
(9) Development of neural network potential of UO2
*Kenji Konashi1, Nobuhiko Kato2, Kazuki Mori2, Ken Kurosaki3 (1. Tohoku Univ., 2. CTC, 3. Kyoto Univ.)
10:00 AM - 10:15 AM
*Tatsuya Nakajima1, Ryota Tsuchimochi1, Masato Kato1, Syun Hirooka1, Masashi Watanabe1, Shinya Nakamichi1, Tatsutoshi Murakami1, Katsunori Ishii1 (1. JAEA)
10:15 AM - 10:30 AM
[2E04] Technological development of the particle size adjustment of recycle powder
(9)Mass production scale pulverization tests of collision plate-type jet mill and spiral jet mill
*Tomoomi Segawa1, Hayato Takashima1, Kazuya Yamamoto1, Takanori Ono1, Kazuyuki Okumura1, Koichi Kawaguchi1, Katsunori Ishii1 (1. JAEA)