Division/Committee: [PMSE: Division of Polymeric Materials Science and Engineering] [POLY: Division of Polymer Chemistry]

The future of polymer science lies at the intersection of automation, high-throughput experimentation, and intelligent data-driven design. This symposium will explore how cutting-edge tools—ranging from autonomous synthesis and rapid characterization to machine learning, and computational modeling—are transforming the pace and precision of materials discovery. By accelerating the screening and optimization of polymers with targeted properties, these integrated approaches are redefining how we innovate. Bringing together academic, industry, and government leaders, this session aims to foster dialogue, collaboration, and inspiration around the next generation of polymer innovation driven by digital and automated technologies. Themes ● Autonomous Synthesis & High-Throughput Platforms Explore how robotic workflows and automated characterization are enabling the rapid generation of polymer libraries and accelerating the materials discovery pipeline. ● Machine Learning & Data-Driven Design From property prediction to formulation optimization—learn how AI and data science are powering smarter decision-making in polymer research. • Computational Modeling & Predictive Simulations Delve into the role of multiscale modeling, quantum calculations, and physics-informed simulations in guiding the design of complex polymer systems. "

Metin Karayilan

Case Western Reserve University

Appearances