Single-parameter aging in the weakly nonlinear limit

• Published in: arXiv.org
• Main Authors: Saeed Mehri, Costigliola, Lorenzo, Dyre, Jeppe C
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 06.07.2022
• Subjects: Aging; Autocorrelation functions; Convolution integrals; Differential equations; Exponential functions; Nonlinear phenomena; Parameters; Physics - Disordered Systems and Neural Networks; Physics - Materials Science; Physics - Soft Condensed Matter; Potential energy
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2206.05131

Physical aging deals with slow property changes over time caused by molecular rearrangements. This is relevant for non-crystalline materials like polymers and inorganic glasses, both in production and during subsequent use. The Narayanaswamy theory from 1971 describes physical aging - an inherently nonlinear phenomenon - in terms of a linear convolution integral over the so-called material time \(\xi\). The resulting "Tool-Narayanaswamy (TN) formalism" is generally recognized to provide an excellent description of physical aging for small, but still highly nonlinear temperature variations. The simplest version of the TN formalism is single-parameter aging according to which the clock rate \(d\xi/dt\) is an exponential function of the property monitored [T. Hecksher et al., J. Chem. Phys. 142, 241103 (2015)]. For temperature jumps starting from thermal equilibrium, this leads to a first-order differential equation for property monitored, involving a system-specific function. The present paper shows analytically that the solution to this equation to first order in the temperature variation has a universal expression in terms of the zeroth-order solution, \(R_0(t)\). Numerical data for a binary Lennard-Jones glass former probing the potential energy confirm that, in the weakly nonlinear limit, the theory predicts aging correctly from \(R_0(t)\) (which by the fluctuation-dissipation theorem is the normalized equilibrium potential-energy time-autocorrelation function).