Researchers are exploring the use of molecular dynamics simulations and machine learning techniques to predict the properties of polymers, including glass transition temperature. Various studies are investigating the application of machine learning models and molecular descriptors to predict properties such as monomer conversion and mechanical properties. The approaches being developed include the use of encoder-decoder models, artificial intelligence, and data science techniques to design and discover new polymers with improved performance and sustainability.