Reproducible thermophysical data pipelines integrating property models, simulation backends and validated reference data, with inspection, visualization, provenance and leakage aware preparation for physics-informed machine learning workflows.
python machine-learning thermodynamics fluid-properties dataset-generation thermodynamic-properties physics-informed-neural-networks thermophysical-properties surrogate-modeling physics-informed-machine-learning physical-ai thermodynamics-informed-machine-learning
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Updated
Aug 15, 2026 - Python