Dynamic Critical Phenomena in Channel Flow
Joe Watson, Daniel S. Fisher (Department of Physics, Harvard, University)

TL;DR
This paper investigates the critical behavior of driven particle flow in a 2D random medium, revealing robust phase transition characteristics and divergence in convergence times near the threshold, with implications for vortex motion in superconductors.
Contribution
It introduces a simple model for channel flow in disordered media, demonstrating the robustness of critical behavior and analyzing divergence in convergence times at the threshold.
Findings
Flow concentrates on a sparse network of channels above threshold
Convergence time diverges with a larger exponent than current density
Critical behavior is independent of how the driving force is increased
Abstract
A simple model of the driven motion of interacting particles in a two dimensional random medium is analyzed, focusing on the critical behavior near to the threshold that separates a static phase from a flowing phase with a steady-state current. The critical behavior is found to be surprisingly robust, being independent of whether the driving force is increased suddenly or adiabatically. Just above threshold, the flow is concentrated on a sparse network of channels, but the time scale for convergence to this fixed network diverges with a larger exponent that that for convergence of the current density to its steady-state value. This is argued to be caused by the ``dangerous irrelevance'' of dynamic particle collisions at the critical point. Possible applications to vortex motion near to the critical current in dirty thin film superconductors are discussed briefly.
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows
