Validation of Advanced Prediction Methods for Irradiation Embrittlement Using Machine Learning

Sakura Nishikawa

Presentation information

Oral presentation

V. Nuclear Fuel Cycle and Nuclear Materials » 502-1 Nuclear Materials, Degradation, Radiation Effects, and Related Technology

[2A15-21] Reactor Pressure Vessel Steels

Thu. Sep 7, 2023 4:10 PM - 6:00 PM Room A (IB Bildg.1F IB013)

Chair:Eiichi Wakai(JAEA)

4:55 PM - 5:10 PM

[2A18] Validation of Advanced Prediction Methods for Irradiation Embrittlement Using Machine Learning

*Sakura Nishikawa¹, Liangfan Zhu¹, Yuting Chen¹, Kazunori Morishita¹ (1. Kyoto Univ.)

Keywords:Irradiation embrittlement, Embrittlement prediction, Rate theory, Machine learning

In this study, in order to further improve the prediction accuracy of neutron irradiation embrittlement correlation in light water reactor pressure vessel steel, machine learning techniques were used to develop.