Residual neural network-based prediction method for core temperature field of pebble-bed high-temperature gas-cooled reactor using measurable data
Special Issue of Excellent Papers on The Second Academic Annual Conference of the Research Reactor and Innovative Reactor Association of Chinese Nuclear Society|更新时间:2026-07-29
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Residual neural network-based prediction method for core temperature field of pebble-bed high-temperature gas-cooled reactor using measurable data
LIU Wei, male, born in 1989, graduated from Nuclear Power Institute of China with a doctoral degree in 2020, focusing on thermal hydraulic and safety analysis of nuclear reactor
SHAN Jianqiang, E-mail: jqshan@mail.xjtu.edu.cn
基金信息:
China Huaneng Group Headquarters Science and Technology Project "High-Temperature Gas-Cooled Reactor Coal Replacement Demonstration Project Scheme Design"(HNKJ22-H07 HN-750)
LIU Wei,MENG Jinxing,WU Zhao,et al.Residual neural network-based prediction method for core temperature field of pebble-bed high-temperature gas-cooled reactor using measurable data[J].NUCLEAR TECHNIQUES,2026,49(07):071111.
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Related Institution
Institute of Materials, China Academy of Engineering Physics
先进反应堆工程与安全教育部重点实验室
Institute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University