General approaches employed include stochastic modeling, model reduction, machine learning, experimental design, robust parameter design, and estimation. We focus on applications involving the kinetics of self-assembly, specifically those in which methods from non-equilibrium statistical mechanics do not provide closed form solutions. 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. 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 concentration system has a general concentration and six named concentrations: Economic & Financial Systems, Operations Research, Quality & Statistics, Supply Chain Engineering, Analytics & Data Science, and Advanced Studies in Operations Research & Statistics. Discrete atoms and molecules interact to form macromolecules and even larger mesoscale assemblies, ultimately yielding macroscopic structures and properties. Grover’s research activities in process systems engineering focus on understanding macromolecular organization and the emergence of biological function. Process-structure-property relationships in polymer organic electronicsĭr.Modeling and control of pharmaceutical and nuclear waste crystallization.Chemical evolution in the origins of life The Regents Engineering Transfer Program (RETP) is a cooperative program between Georgia Tech and colleges in the University System of Georgia.Feedback control of colloidal crystallization for photonic materials The Georgia Institute of Technology, also known as Georgia Tech, is a top-ranked public college and one of the leading research universities in the USA.
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