A physically interpretable machine-learning method in efficiently and explicitly exploring predictive thermodynamic models for mixture working fluids

Journal:

Energy

Published:

2025-12-11

DOI:

10.1016/j.energy.2025.139577

Affiliations:

1

Authors:

5

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Institutions	Authors	Share
MOE Key Laboratory for Thermal Science and Power Engineering, Tsinghua, China	5.000000	1.00

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