Simulations of Noise in Disordered Systems

TL;DR

This paper uses particle dynamics simulations to study noise and dynamics correlations in various disordered systems, revealing links to microscopic behavior and dynamical transitions.

Contribution

It introduces simulation-based analysis of noise in disordered systems, connecting noise signatures to microscopic dynamics and phase transitions.

Findings

Noise measurements correlate with microscopic flow behaviors.

Signatures of dynamical reordering are identified.

Dislocation density fluctuations relate to melting transitions.

Abstract

We use particle dynamics simulations to probe the correlations between noise and dynamics in a variety of disordered systems, including superconducting vortices, 2D electron liquid crystals, colloids, domain walls, and granular media. The noise measurements offer an experimentally accessible link to the microscopic dynamics, such as plastic versus elastic flow during transport, and can provide a signature of dynamical reordering transitions in the system. We consider broad and narrow band noise in transport systems, as well as the fluctuations of dislocation density in a system near the melting transition.