1) Computational methods for modeling heat/mass transport at interfaces for separations, devices, and composites.
2) Machine learning for materials design and (electro)catalysis.
3) Properties of complex polymer formulations, spanning thermodynamics, rheology, and mechanics.
About
Research integrates theory, simulation and machine learning to connect polymer microstructure with rheology and adhesion, quantify nonequilibrium interfacial transport, and accelerate materials discovery. Current work spans ring‑polymer topology and mechanically interlocked polymers.
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