2024 Annual Meeting

Presentation information

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)

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.)

Keywords:Neural network potential, machine learning, nuclear fuel, molecular dynamics

Neural network potential for UO2 has been developed using artificial intelligence (AI)technology. The elastic modulas and two-body correlation function were calculated by molecular dynamics (MD) method with the potential.

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