Tao et al. used ML models to predict the glass transition temperature of a polymer based on its structural formulation . Later, these authors also did a benchmarking study to compare the predictive power of numerous ML models and showed the importance of structure and feature representations . Xu et al. used ML models to study swelling of polymer membranes in different solvents with chemically informed molecular representations and descriptors .