Qin-Han Chen

Cross-Scale Machine Learning for Polymer Materials: Linking Molecular Structure, Mesoscale Organization, Processing History, and Macroscopic Properties

Machine learning (ML) is increasingly used to predict polymer properties, screen candidates, and monitor manufacturing. Yet many studies remain confined to direct repeat-unit-to-property or process-to-quality correlations, while explicit state variables are often predicted only as terminal targets, treated as paralle...