Single parameter aging and density scaling

TL;DR

This paper demonstrates that the single-parameter aging (SPA) model accurately predicts temperature down-jump behaviors in out-of-equilibrium systems, including large jumps, and explores extensions of density scaling concepts.

Contribution

The study shows SPA's effectiveness for large temperature jumps and discusses new approaches to extend density scaling to out-of-equilibrium conditions.

Findings

SPA accurately predicts large temperature down-jumps.

SPA works for all data including jumps over 20 K.

Discusses extensions of density scaling to non-equilibrium systems.

Abstract

In a recent paper, Di Lisio et al. [J. Chem. Phys. 159 064505 (2023)] analyzed a series of temperature down-jumps using the single-parameter aging (SPA) ansatz combined with a specific assumption about density scaling in the out-of-equilibrium system and did not find a good prediction for the largest down-jumps. In this paper we show that SPA in its original form does work for all their data including large jumps of \Delta T > 20 K. Furthermore, we discuss different approaches to the extension of the density scaling concept to out-of-equilibrium systems.