Spatiotemporal Mapping of Polymer Dynamics
ORAL
Abstract
Polymers present unique challenges to computational science, as their structures and dynamics are characterized by a remarkably wide range of length scales and timescales. The recent advances in high performance computing systems have afforded new opportunities to investigate the slow dynamics in polymeric liquids. In this talk, we demonstrate a novel approach to resolve the fine spatiotemporal features of entangled polymer dynamics, by leveraging the computational resources at the Oak Ridge Leadership Computing Facility. Potential applications of this new method will also be discussed.
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Presenters
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Jihong Ma
Oak Ridge National Lab, Department of Civil, Environmental, and Geo- Engineering, University of Minnesota - Twin Cities, Oak Ridge National Laboratory
Authors
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Jihong Ma
Oak Ridge National Lab, Department of Civil, Environmental, and Geo- Engineering, University of Minnesota - Twin Cities, Oak Ridge National Laboratory
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Jan-Michael Carrillo
Oak Ridge National Laboratory, Oak Ridge National Lab
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Bobby Sumpter
Oak Ridge National Laboratory, Oak Ridge National Lab, Center for Nanophase Materials Sciences & Computational Sciences and Engineering Division, Oak Ridge National Laboratory
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Yangyang Wang
Oak Ridge National Lab, Oak Ridge National Laboratory