Aging classification in glassy dynamics
A. Barrat, R. Burioni, M. M\'ezard

TL;DR
This paper investigates aging in glassy systems by analyzing their out-of-equilibrium dynamics using a phase space approach, distinguishing between domain growth and spin glass behaviors.
Contribution
It introduces a novel classification method based on replica overlaps to differentiate aging types in glassy dynamics.
Findings
Domain growth and spin glasses exhibit distinct aging behaviors.
The proposed overlap-based classification effectively distinguishes different aging systems.
Abstract
We study the out of equilibrium dynamics of several models exhibiting aging. We attempt at identifying various types of aging systems using a phase space point of view: we introduce a trial classification, based on the overlap between two replicas of a system, which evolve together until a certain waiting time, and are then totally decoupled. We investigate in this way two types of systems, domain growth problems and spin glasses, and we show that they behave differently.
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