My research activities in process systems engineering focus on understanding macromolecular organization and the emergence of biological function.
Our group's research activities in process systems engineering focus on understanding macromolecular organization and the emergence of biological function.
Discrete atoms and molecules interact to form macromolecules and even larger mesoscale assemblies, ultimately yielding macroscopic structures and properties. A quantitative relationship between the nanoscale discrete interactions and the macroscale properties is required to design, optimize, and control such systems; yet in many applications, predictive models do not exist or are computationally intractable.
The Grover group is dedicated to the development of tractable and practical approaches for the engineering of macroscale behavior via explicit consideration of molecular and atomic scale interactions. We focus on applications involving the kinetics of self-assembly, specific those in which methods from non-equilibrium statistical mechanics do not provide closed form solutions. General approaches employed include stochastic modeling, model reduction, machine learning, experimental design, robust parameter design, and estimation.
Clockwise from top left: SEM image of silver nanoparticles on paper (Casciato); microscope image of fluoscence of a dissociated neural culture (Kuykendal); microscope image of paracetamol in ethanol (Li); kinetic Monte Carlo simulation of self-organization in replicating polymers (Walker).
Gene replication viscosity
Gene puddle primeval, a drawing by first author Christine He to illustrate her discocery that viscosity moves DNA and RNA strands forward toward spontaneous gene strand replication. Credit: Georgia Tech / Christine He