Thermodynamics-Grounded AI-Collaboration Trend in Systematically Exploring Models and Interpretably Predicting Thermophysical Properties for Working Fluids
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Peng X., Jin Y., Li J., et al. (2026). Thermodynamics-Grounded AI-Collaboration Trend in Systematically Exploring Models and Interpretably Predicting Thermophysical Properties for Working Fluids. Energy Use 2:100073. https://doi.org/10.59717/ipj.energy-use.2026.100073
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Peng X., Jin Y., Li J., et al. (2026). Thermodynamics-Grounded AI-Collaboration Trend in Systematically Exploring Models and Interpretably Predicting Thermophysical Properties for Working Fluids. Energy Use 2:100073. https://doi.org/10.59717/ipj.energy-use.2026.100073
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Figure 1.
Physically interpretable machine learning methods in thermophysical property modeling of working fluids in energy utilization systems