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Artificial intelligence-based surrogate modeling for computational cost-effective optimization of hydrogen liquefaction process
Release Time:2025-03-31 Hits:
Indexed by: Journal Papers
Document Code: 393367
First Author: Rehman, Ali
Correspondence Author: 张博,Riaz, Amjad,Qadeer, Kinza,Min, Seongwoong,Ahmad, Ashfaq,Zakir, Fatima,Ismail, Mohamed A.,Lee, Moonyong
Date of Publication: 2025-06-12
Journal: INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Document Type: J
Volume: 137
Page Number: 819-829
ISSN: 0360-3199
Key Words: DESIGN; GROUND VIBRATION; LIQUID-HYDROGEN; NEURAL-NETWORK