Research
Our research spans computational polymer science, machine learning for materials design, and the physics of self-assembly.
Developing Mathematical Models for Complex Polymeric Systems
We develop coarse-grained simulation models and computational methods to study the self-assembly, thermodynamics, and dynamics of complex polymeric systems at the mesoscale.
10 research topics
Materials/Systems Design through Data Science and Machine Learning
We leverage artificial intelligence, machine learning, and data-driven approaches to accelerate the design of novel polymer materials and predict system behavior.
4 research topics
Non-simple Boundary and Its Effects on Self-assembly
We investigate how complex boundaries and confinement geometries influence the self-assembly of block copolymers and other soft matter systems.
4 research topics