Machine Learning–ECNLE Integrated Framework for Predicting the Molecular Relaxation Dynamics of Metallic Glasses
We combine machine learning and theoretical modelling to predict and analyze the thermal and molecular dynamics properties of metallic glasses. First, we use machine learning models to estimate the glass transition temperature (Tg) from alloy compositions. Our approach uses the most minimal input features to date, simp...