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Buzhi Huang

University of Shanghai for Science and Technology

  • University of Shanghai for Science and Technology

SCHOLARLY PAPERS

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Scholarly Papers (1)

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Deep Neural Network-Based Surrogate Modeling Assisted Design Optimization of Cryogenic Supercritical Hydrogen Storage System with LNG Cryogenic Energy Integration

Downloads 93 (742,061)

Deep Neural Network-Based Surrogate Modeling Assisted Design Optimization of Cryogenic Supercritical Hydrogen Storage System with LNG Cryogenic Energy Integration

Number of pages: 23 Posted: 09 Dec 2025
Buzhi Huang, Jingxuan Xu, Xi Chen, Binlin Dou, Hua Zhang and Ting He
University of Shanghai for Science and Technology, University of Shanghai for Science and Technology, University of Shanghai for Science and Technology, University of Shanghai for Science and Technology - Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, University of Shanghai for Science and Technology and Southwest Petroleum University
Downloads 49 (1,119,531)

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Cryogenic Supercritical Hydrogen Storage, Surrogate model, Deep neural network, process optimization, LNG Cryogenic Energy

Deep Neural Network-Based Surrogate Modeling Assisted Design Optimization of Cryogenic Supercritical Hydrogen Storage System with LNG Cryogenic Energy Integration

Number of pages: 23 Posted: 09 Dec 2025
Buzhi Huang, Jingxuan Xu, Xi Chen, Binlin Dou, Hua Zhang and Ting He
University of Shanghai for Science and Technology, University of Shanghai for Science and Technology, University of Shanghai for Science and Technology, University of Shanghai for Science and Technology - Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, University of Shanghai for Science and Technology and Southwest Petroleum University
Downloads 44 (1,170,161)

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Cryogenic Supercritical Hydrogen Storage, Surrogate model, Deep neural network, process optimization, LNG Cryogenic Energy