Our work probes the connections between molecular structure and thermodynamic phase behavior in complex coacervates, a class of charged polymer materials, using theory and simulation. We are interested in how molecular details such as primary polymer sequence, macromolecular architecture, and electrostatic environment govern the thermodynamics and self-assembly of charged polymers. See below for a non-comprehensive list of research areas. We integrate statistical mechanical theory and coarse-grained models to understand polymer physical phenomena, addressing fundamental physical problems using a unique brand of molecular engineering that combines accurate physicochemical models with first principles theory, in close collaboration with experimentalists. Our primary goal is to inform how polymers can be engineered at the molecular level, taking inspiration from biology where complex structure and function arises from processes occurring on disparate length and time scales. Our research uses simulation and theory to understand polymer materials such as those in modern-day consumer products, advanced responsive or adaptive materials, and in biological systems.
Polymer Physics, Statistical Mechanics, and Computer Simulation.B.S.E., Case Western Reserve University, 2008.M.S., Case Western Reserve University, 2008.Ph.D., Massachusetts Institute of Technology, 2012.Postdoctorate, Northwestern University, 2012-2014.He completed his postdoctoral work at Northwestern University’s International Institute for Nanotechnology. He received his BSE/MS from Case Western Reserve University and his Ph.D from the Massachusetts Institute of Technology. Sing has been recognized with a number of honors, including the ACS PMSE Young Investigator Award (2020) and AIChE 35 Under 35 (2020).
Current research efforts are focused on problems that are challenging because they span large length and time scales, and new theory or simulation methods are necessary to yield new fundamental physical principles. His research group seeks to use coarse-grained models to understand the emergent physics of polymer or biophysical systems, and then use the resulting insights to guide the design of new materials. Sing studies charged polymers, polymer dynamics, and biophysics.
0 kommentar(er)
