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Our research concerns the microscopic behavior of complex biological and material systems. Using the tools and concepts of statistical mechanics, we develop theories and simplified models for chemical phenomena in condensed phases, for biomolecular structure and dynamics, and for the role of fluctuations in nanoscale materials. We also use and devise techniques of modern computer simulation to investigate such systems on molecular length scales. We interact closely with experimental research groups both to inspire and to be inspired by state-of-the-art studies of real physical systems. Among our current interests is the elasticity of disordered networks of semiflexible polymers. Specifically, we are constructing models for the polymeric framework of living cells, which can exhibit dramatic dynamical restructuring. Explaining the microscopic origins of this sensitive response is an essential step in understanding mechanical aspects of cell signaling. A second interest is the dynamics of nanometer-sized solutes in a liquid undergoing phase change. We aim to determine how nonequilibrium fluctuations in such a system can be exploited to guide the spontaneous formation of useful patterned assemblies.
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Machine Learning: Science and Technologyno. 3 (2023): 035050-035050
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