Temperature Effect on Dynamic Behaviors of Cis-Polyisoprene Chain

Abstract

A novel structure-preserving method, named as stochastic generalized multi-symplectic method, is proposed to analyze the temperature effect on the dynamic characteristics hided in the motion of the cis-polyisoprene chain in this paper. Ignoring the dynamic backflow and the exhaust volume effect, the motion of the Gaussian chain in linear polymers can be described as the Langevin model, which can be written into the stochastic generalized multi-symplectic form. For this stochastic generalized multi-symplectic form, a box structure-preserving scheme is constructed to simulate the motion of the cis-polyisoprene chain. From the simulation results, the temperature effects on the dynamic behaviors around the glass transition temperature and the viscous flow temperature of cis-polyisoprene are investigated. The structure-preserving method for analyzing the temperature effect on the dynamic characteristics of the cis-polyisoprene chain presented in this paper proposes a new way to study some dynamic characteristics of complex fluid systems.