Welcome to MLPROP!
An open-source, web-based tool for machine-learning based thermophysical property prediction. Developed by the Laboratory of Engineering Thermodynamics (LTD) at RPTU Kaiserslautern.
We welcome your feedback! If you have any suggestions, questions, or comments, please feel free to contact us at marco.hoffmann@rptu.de.
News & Updates
Added CEM-based phase equilibrium predictions
MLPROP now enables the prediction of binary and ternary phase equilibria including VLE and LLE through the convex envelope method (CEM) using HANNA and GRAPPA.
New HANNA Model Integration
MLPROP now features the new HANNA model that was additionally trained to LLE data and is applicable to multi-component mixtures.
The old HANNA model is still available as HANNA (legacy).