Joel PaulsonDepartment of Chemical and Biomolecular EngineeringThe Ohio State UniversityColumbus, OH Physics-Informed Bayesian Optimization: A Sequential Learning Framework for Accelerating Scientific Design and Discovery Bayesian optimization (BO) is a powerful tool for optimizing non-convex black-box functions that are expensive and/or time-consuming to evaluate and subject to random noise in their observations. Many important real-world science...

Michael WebbDepartment of Chemical EngineeringPrinceton UniversityPrinceton, NJ Data-driven Strategies to Navigate Sequence, Composition, and ArchitecturalComplexity in Polymer Design Understanding and designing polymers with target structural and/or functional properties are grand challenges in materials science. The field of polymer physics provides invaluable scaffolding to elucidate general phenomena of polymer-based materials, but contributions fall short of proffering...