Resolving Dynamic Properties of Polymers through Coarse-Grained Computational Studies

K. Michael Salerno, Anupriya Agrawal, Dvora Perahia, and Gary S. Grest
Phys. Rev. Lett. 116, 058302 – Published 5 February 2016
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Abstract

Coupled length and time scales determine the dynamic behavior of polymers and underlie their unique viscoelastic properties. To resolve the long-time dynamics it is imperative to determine which time and length scales must be correctly modeled. Here we probe the degree of coarse graining required to simultaneously retain significant atomistic details and access large length and time scales. The degree of coarse graining in turn sets the minimum length scale instrumental in defining polymer properties and dynamics. Using linear polyethylene as a model system, we probe how the coarse-graining scale affects the measured dynamics. Iterative Boltzmann inversion is used to derive coarse-grained potentials with 2–6 methylene groups per coarse-grained bead from a fully atomistic melt simulation. We show that atomistic detail is critical to capturing large-scale dynamics. Using these models we simulate polyethylene melts for times over 500μs to study the viscoelastic properties of well-entangled polymer melts.

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  • Received 16 October 2015

DOI:https://doi.org/10.1103/PhysRevLett.116.058302

© 2016 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
  1. Physical Systems
  1. Techniques
Polymers & Soft Matter

Authors & Affiliations

K. Michael Salerno1, Anupriya Agrawal2,3, Dvora Perahia3, and Gary S. Grest1

  • 1Sandia National Laboratories, Albuquerque, New Mexico 87185, USA
  • 2Department of Mechanical Engineering and Materials Science, Washington University, St. Louis, Missouri 63130, USA
  • 3Department of Chemistry, Clemson University, Clemson, South Carolina 29634, USA

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Issue

Vol. 116, Iss. 5 — 5 February 2016

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