Multi-objective optimization of supercritical carbon dioxide Brayton cycles using Bayesian physics-informed neural networks: A comprehensive analysis of energy, exergy, economic, and environmental performance

Journal:
Energy
Published:
DOI:
10.1016/j.energy.2025.139033
Affiliations:
4
Authors:
7
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Institutions Authors Share
Beihang University (BUAA), China
4.000000
 0.57
Wuhan University of Technology (WUT), China
1.000000
 0.14
The University of British Columbia (UBC), Canada
1.000000
 0.14
MOE Key Laboratory of Thermo-Fluid Science and Engineering, XJTU, China
1.000000
 0.14
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