Coupling deep learning and multi-objective genetic algorithms to achieve high performance and durability of direct internal reforming solid oxide fuel cell

被引：0
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作者：
Wang, Yang [1 ,2 ]
Wu, Chengru [1 ,2 ]
Zhao, Siyuan [2 ]
Wang, Jian [2 ]
Zu, Bingfeng [3 ]
Han, Minfang [4 ]
Du, Qing [1 ]
Ni, Meng [2 ]
Jiao, Kui [1 ]
机构：
[1] State Key Laboratory of Engines, Tianjin University, 135 Yaguan Road, Tianjin, China
[2] Department of Building and Real Estate, Research Institute for Sustainable Urban Development (RISUD) & Research Institute for Smart Energy (RISE), Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
[3] Internal Combustion Engine Research Institute, Tianjin University, 92 Weijin Road, Tianjin, China
[4] Department of Energy and Power Engineering, Tsinghua University, Beijing, Beijing,100084, China
来源：
Applied Energy | 2022年 / 315卷
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