Modification of the aging dynamics of glassy polymers due to a temperature step

TL;DR

This study uses molecular dynamics simulations to explore how temperature steps influence aging in polymer glasses, revealing rejuvenation and over-aging effects that depend on the step duration and temperature change.

Contribution

It demonstrates the impact of temperature square steps on aging dynamics in polymer glasses and explains the mechanisms behind rejuvenation and over-aging phenomena.

Findings

Negative temperature steps cause rejuvenation, making relaxation spectra similar to younger samples.

Positive temperature steps lead to accelerated short-time dynamics and slowed long-time dynamics.

The effects depend on step duration, with shorter steps inducing more rejuvenation.

Abstract

Molecular dynamics simulations are used to investigate the connection between thermal history and physical aging in polymer glasses, in particular the effects of a temperature square step. Measurements of two-time correlation functions show that a negative temperature step causes "rejuvenation" of the sample: the entire spectrum of relaxation times appears identical to a younger specimen that did not experience a temperature step. A positive temperature step, however, leads to significant changes in the relaxation times. At short times, the dynamics are accelerated (rejuvenation), whereas at long times the dynamics are slowed (over-aging). All findings are in excellent qualitative agreement with recent experiments. The two regimes can be explained by the competing contributions of dynamical heterogeneities and faster aging dynamics at higher temperatures. As a result of this competition, the transition between rejuvenation and over-aging depends on the length of the square step, with shorter steps causing more rejuvenation and longer steps causing more over-aging. Although the spectrum of relaxation times is greatly modified by a temperature step, the van Hove functions, which measure the distribution of particle displacements, exhibit complete superposition at times when the mean-squared displacements are equal.