Reduced-Order Computational Model for the Molecular Dynamics Simulation of Entangled Polymers

TL;DR

This paper introduces a novel reduced-order computational approach for simulating entangled polymers using Gaussian chain models and pseudospectral Fourier mode representations to enhance efficiency.

Contribution

It presents a new reduced-order molecular dynamics method employing pseudospectral Fourier modes for entangled polymer simulations, improving computational efficiency.

Findings

Efficient simulation of entangled polymers achieved

Gaussian chain modeling simplifies complex polymer behavior

Fourier mode representation enhances computational speed

Abstract

We present a new reduced-order computational method for the molecular dynamics simulation of entangled polymer systems. The polymer chains are modeled as continuous Gaussian chains. Our algorithm is based on the application of the molecular dynamics simulation method to the pseudospectral representation of the Fourier modes of the chains.