Dynamic coarse-graining of polymer systems using mobility functions

Author:

Li BingORCID,Daoulas KostasORCID,Schmid FriederikeORCID

Abstract

Abstract We propose a dynamic coarse-graining (CG) scheme for mapping heterogeneous polymer fluids onto extremely CG models in a dynamically consistent manner. The idea is to use as target function for the mapping a wave-vector dependent mobility function derived from the single-chain dynamic structure factor, which is calculated in the microscopic reference system. In previous work, we have shown that dynamic density functional calculations based on this mobility function can accurately reproduce the order/disorder kinetics in polymer melts, thus it is a suitable starting point for dynamic mapping. To enable the mapping over a range of relevant wave vectors, we propose to modify the CG dynamics by introducing internal friction parameters that slow down the CG monomer dynamics on local scales, without affecting the static equilibrium structure of the system. We illustrate and discuss the method using the example of infinitely long linear Rouse polymers mapped onto ultrashort CG chains. We show that our method can be used to construct dynamically consistent CG models for homopolymers with CG chain length N = 4, whereas for copolymers, longer CG chain lengths are necessary.

Funder

Deutsche Forschungsgemeinschaft

Publisher

IOP Publishing

Subject

Condensed Matter Physics,General Materials Science

Reference64 articles.

1. Configuration of Isolated Polymer Molecules Adsorbed on Solid Surfaces Studied by Monte‐Carlo Computer Simulation

2. Bridging the gap between atomistic and coarse-grained models of polymers: status and perspectives;Baschnagel,2000

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