Our faculty develop and apply mathematical models, theory, and computational methods to understand and predict the behavior of complex chemical, biological, material, and process systems. Research spans molecular, particle, continuum, and systems scales, connecting fundamental interactions and transport phenomena with experimentally observable behavior and process performance. These quantitative approaches enable scientific discovery, guide experiments and materials design, and support the development and optimization of new technologies and processes.
Faculty
WE STUDY POLYMERS, PROTEINS, AND THEIR HYBRIDS TO DESIGN THE NEXT GENERATION OF SOFT MATERIALS using molecular dynamics simulations, high throughout computations, and enhanced sampling methods. To sustain materials discovery in the future given the limited resources at our disposal, predictive engineering techniques must be employed to allow for efficient design and optimization of materials.…