Our research interests cover a diverse array of computational and experimental topics, and are connected by material systems that are not easily described by deterministic models. We are interested in hard problems that help people.
Computational stochastic mechanics of quantum systems [new]
Stochastic model regression of inherently non-deterministic systems
Polymer materials science and synthesis
We develop computational approaches to explore stochastic mechanics based predictions of quantum systems
Copolymers with applications in heath and sustainability and synthesized in processes that are inherently stochastic. We develop concepts and tools for understanding copolymer structure using stochastic methods.
We investigate fundamental structure-property relationships for ion transport in polymer electrolytes, and develop new materials for water purification, ion capture or gas separations.