2 papers
physics.chem-ph2026
Hybrid Machine Learning for Enhanced Prediction of Diffusion Coefficients in Liquids
Jens Wagner, Zeno Romero, Kerstin Münnemann +4
Diffusion coefficients are key thermophysical properties for modeling mass transport in liquids, but experimental data are scarce, making reliable prediction methods indispensable.…
physics.chem-ph2025
Entropy Scaling for Diffusion Coefficients in Fluid Mixtures
Sebastian Schmitt, Hans Hasse, Simon Stephan
Entropy scaling is a powerful technique that has been used for predicting transport properties of pure components over a wide range of states. However, modeling mixture diffusion c…