CBE Seminar: Shengli Jiang
Polymer Physics Meets Machine Learning: A Synergistic Approach to Complex Polymer Design
Abstract: Polymers exhibit rich and tunable properties governed by their topological, compositional, and chemical complexity. However, navigating this vast design space to identify optimal materials remains a grand challenge. While artificial intelligence and machine learning have significantly advanced materials design, their application to polymers has been largely restricted to simpler systems, particularly linear polymers.