Current position: Home >> Scientific Research >> Paper Publications

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

Date of Publication: 2025-06-12

Journal: INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Volume: 137

Page Number: 819-829

ISSN: 0360-3199

Key Words: DESIGN; GROUND VIBRATION; LIQUID-HYDROGEN; NEURAL-NETWORK

Prev One:Performance and mixing process investigation of a novel mixing-enhanced ejector

Next One:Influence of Geometrical Parameters on Supersonic Steam-Ejector Performance