Evaluation of memory effects at phase transitions and during relaxation processes

We propose to describe the dynamics of phase transitions in terms of a nonstationary generalized Langevin equation for the order parameter. By construction, this equation is nonlocal in time, i.e., it involves memory effects whose intensity is governed by a memory kernel. In general, it is a hard task to determine the physical origin and the extent of the memory effects based on the underlying microscopic equations of motion. Therefore we propose to relate the extent of the memory kernel to quantities that are experimentally observed such as the induction time and the duration of the phase transformation process. Using a simple kinematic model, we show that the extent of the memory kernel is positively correlated with the duration of the transition, and that it is of the same order of magnitude, while the distribution of induction times does not have an effect on the memory kernel. This observation is tested at the example of several model systems, for which we have run computer simulations: a modified Potts model, a dipole gas, an anharmonic spring in a bath, and a nucleation problem. All these cases are shown to be consistent with the simple theoretical model.

Automated summary

The study proposes to describe phase transition dynamics using a nonstationary generalized Langevin equation for the order parameter. It suggests that the extent of the memory kernel is positively correlated with the duration of the transition and is of the same order of magnitude, while the distribution of induction times does not affect the memory kernel. This observation is consistent with several model systems tested through computer simulations.