A hierarchical Physics-Informed AI framework for Solid Oxide Cells evolves from loss-level constraints to architecture-level fusion and integration-level model correction, ensuring physical consistency. (IMAGE)
Caption
A hierarchical Physics-Informed AI framework for Solid Oxide Cells evolves from loss-level constraints to architecture-level fusion and integration-level model correction, ensuring physical consistency.
Credit
Yibin Zhang\University of Chinese Academy of Sciences & Shanghai Institute of Applied Physics, Chinese Academy of Sciences; Min Zhang\University of Chinese Academy of Sciences & Shanghai Institute of Applied Physics, Chinese Academy of Sciences; Chengzhi Guan\University of Chinese Academy of Sciences, Shanghai Institute of Applied Physics, Chinese Academy of Sciences & Shanghai Hyenergy Technology Co., Ltd.; Fei Deng\Hydrogen Energy Industrial Technology Innovation Center, China Nuclear Power Technology Research Institute; Shixue Liu\Hydrogen Energy Industrial Technology Innovation Center, China Nuclear Power Technology Research Institute; Zijing Lin\Department of Physics, University of Science and Technology of China; Jianqiang Wang\University of Chinese Academy of Sciences & Shanghai Institute of Applied Physics, Chinese Academy of Sciences & Shanghai Hyenergy Technology Co., Ltd.
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