Artificial intelligence-driven surrogate modeling for computationally efficient and digitally decarbonized LNG process optimization under varying feed composition

Journal:
Journal of Cleaner Production
Published:
DOI:
10.1016/j.jclepro.2026.148110
Affiliations:
3
Authors:
4
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Institutions Authors Share
Sultan Qaboos University (SQU), Oman
3.000000
 0.75
COMSATS University Islamabad (CUI), Pakistan
1.000000
 0.25
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