Beyond Data: Physics-Informed Machine Learning Predicts Molecular Properties

New research shows that incorporating thermodynamic descriptors derived from molecular dynamics simulations significantly improves the accuracy and reliability of machine learning models for predicting the boiling points of complex compounds.








