A memory function analysis of non-exponential relaxation in viscous liquids
Nicholas P. Bailey

TL;DR
This paper introduces a memory function approach with a negative power-law tail to analyze relaxation in glass-forming liquids, revealing a temperature-independent exponent and a fragile-to-strong crossover.
Contribution
It demonstrates that a memory function with a power-law tail effectively models non-exponential relaxation, challenging the traditional stretched exponential fit and identifying a temperature-independent tail exponent.
Findings
Power-law tail exponent is approximately 1.58/1.50 across temperatures.
A fragile-to-strong crossover occurs around T=0.40 in 3D systems.
The short-time decorrelation rate follows an Arrhenius temperature dependence.
Abstract
We analyze data from simulations of 2D and 3D glass-forming liquids using a correlation function defined in terms of a memory function with a negative inverse power-law tail. The self-intermediate function and the autocorrelation functions of pressure and shear stress are analyzed; the obtained fits are very good, at least as good as with a stretched exponential. In contrast to the stretched exponential, the key shape parameter--the exponent of the power-law tail--seems to be the same for all three correlation functions. It decreases from a value around 2 at high temperature to a value close to 1.58 (2D), 1.50 (3D) at low temperatures. The amplitude of the tail increases towards towards a value corresponding to a diverging relaxation time, which is related to anomalous diffusion. On the other hand, careful analysis of the long time behavior in the case of suggests that the memory…
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Taxonomy
TopicsScientific Research and Discoveries
