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Topological Methods for Polymeric Materials: Characterizing the Relationship Between Polymer Entanglement and Viscoelasticity

Journal Article · · Polymers
 [1];  [2];  [2]
  1. Univ. of Tennessee, Chattanooga, TN (United States); DOE/OSTI
  2. Univ. of California, Santa Barbara, CA (United States)

We develop topological methods for characterizing the relationship between polymer chain entanglement and bulk viscoelastic responses. We introduce generalized Linking Number and Writhe characteristics that are applicable to open linear chains. We investigate the rheology of polymeric chains entangled into weaves with varying topologies and levels of chain density. To investigate viscoelastic responses, we perform non-equilibrium molecular simulations over a range of frequencies using sheared Lees–Edwards boundary conditions. We show how our topological characteristics can be used to capture key features of the polymer entanglements related to the viscoelastic responses. We find there is a linear relation over a significant range of frequencies between the mean absolute Writhe W r and the Loss Tangent tan ( δ ) . We also find an approximate inverse linear relationship between the mean absolute Periodic Linking Number L K P and the Loss Tangent tan ( δ ) . Our results show some of the ways topological methods can be used to characterize chain entanglements to better understand the origins of mechanical responses in polymeric materials.

Research Organization:
Univ. of California, Santa Barbara, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Grant/Contract Number:
SC0009254
OSTI ID:
1611189
Journal Information:
Polymers, Journal Name: Polymers Journal Issue: 3 Vol. 11; ISSN POLYCK; ISSN 2073-4360
Publisher:
MDPICopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (3)

Developments in Polymer Theory and Simulation text January 2020
A topological study of protein folding kinetics preprint January 2018
Developments in Polymer Theory and Simulation journal December 2019

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