Open access
Jul 2026
Glass Transition Prediction of Binary Copolymers Across Large Chemical Spaces Using Machine Learning and Physics-Based Modeling
A machine learning framework for the high-throughput prediction of Tg in binary copolymers, trained on experimental datasets encompassing both homopolymers and copolymers, and validated using physics-based molecular dynamics simulations.
Manav Bhati, Mohammad Atif Faiz Afzal, Alex K. Chew et al.
· Polymers · 0 citations