Nuclear materials, advanced reactors, materials chemistry, atomistic simulation, multi-scale modeling, machine learning, energy storage and conversion.
My research group focuses on combining multi-scale chemical simulation, informed experiments, and advanced data analytics for the purpose of understanding chemical structure, reactions and property relationships. This includes the development of new computational tools to improve fundamental understanding of material properties, increase the prediction accuracy of simulations, and accelerate materials screening and discovery.
The group's interests include:
Stephen Lam is an Assistant Professor of Chemical Engineering. His research focuses on accelerating the development of materials for nuclear and other energy applications. Prior to joining UMass Lowell, Lam worked in the petroleum and chemical processing industries.