Aging in Disordered Systems
arXiv:cond-mat/9507047 · doi:10.1016/0378-4371(95)00329-0
Abstract
The dynamics of strongly disordered systems becomes extremely slow or glassy at low temperatures, which results in a characteristic aging scenario. This means that the outcome of measurements strongly depends on the history of the system within the glassy phase, even on macroscopic time scale like hours, weeks or years. This area of non-equilibrium dynamics in disordered systems became recently a major focus of research interest, in particular with respect to spin glasses and related systems. Here we give an overview on these activities with a focus on Monte Carlo studies.
14 pages, RevTeX, 4 postscript figures
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- Anomalous Diffusion in Aperiodic Environments
- A Role of Initial Conditions in Spin-Glass Aging Experiments
- Chaotic, memory and cooling rate effects in spin glasses: Is the Edwards-Anderson model a good spin glass?
- Closure of the Monte Carlo dynamical equations in the spherical Sherrington-Kirkpatrick model
- Ageing at the Spin-Glass/Ferromagnet Transition: Monte Carlo Simulation using GPUs
- Anomalous Relaxation in the XY Gauge Glass
- Hysteresis in Anti-Ferromagnetic Random-Field Ising Model at Zero Temperature
- Aging in the three-dimensional Random Field Ising Model
- Dynamics of unbinding of polymers in a random medium
- Bringing together two paradigms of non-equilibrium: Fragile versus robust aging in driven glassy systems
- A hierarchical model for aging
- Ordering kinetics in q-state random-bond clock model: Role of Vortices and Interfaces
- Relaxation dynamics and interrupted coarsening in irrationally frustrated superconducting arrays