Oral presentation

V. Nuclear Fuel Cycle and Nuclear Materials » 501-2 Nuclear Fuel and the Irradiation Behavior

[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)

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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 Kurosaki^1,3 (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

[2E03] Machine Learning Sintering Density Prediction Model for MOX Fuel Pellet

*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)

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