Prediction method of reactor core 3D neutron flux based on ARGA-3D CNN
NUCLEAR ENERGY SCIENCE AND ENGINEERING|更新时间:2026-02-13
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Prediction method of reactor core 3D neutron flux based on ARGA-3D CNN
“A new breakthrough has been made in the field of nuclear energy, and relevant experts have constructed the ARGA-3D CNN model, which effectively overcomes the three-dimensional prediction problem of neutron flux in micro sized lead cooled fast reactors and opens up a new path for rapid prediction of core parameters in nuclear reactors, with great practical value.”
YANG Zihui, male, born in 1988, graduated from University of Science and Technology of China in 2016, focusing on Monte Carlo particle transport, multi-physics coupling, digital twin, etc., E-mail: zihui.yang@inest.cas.cn
MO Ziwen, female, born in 2000, graduated from Huaibei Normal University in 2023, master student, focusing on advanced nuclear energy system design and analysis
基金信息:
the Strategic Priority Research Program of Chinese Academy of Sciences(XDA0410000);the President's Fund of Hefei Institutes of Physical Science, Chinese Academy of Sciences(YZJJ202403-CX)
YANG Zihui,MO Ziwen,LI Zhongyang,et al.Prediction method of reactor core 3D neutron flux based on ARGA-3D CNN[J].NUCLEAR TECHNIQUES,2026,49(02):020601.