Artificial intelligence-based surrogate modeling for computational cost-effective optimization of hydrogen liquefaction process
Release Time:2025-03-31
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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