1996
DOI: 10.1103/physrevb.54.938
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Collective particle flow through random media

Abstract: A simple model for the nonlinear collective transport of interacting particles in a random medium with strong disorder is introduced and analyzed. A finite threshold for the driving force divides the behavior into two regimes characterized by the presence or absence of a steady-state particle current.Below this threshold, transient motion is found in response to an increase in the force, while above threshold the flow approaches a steady state with motion only on a network of channels which is sparse near thre… Show more

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Cited by 28 publications
(43 citation statements)
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“…For instance, Refs. [73,74] propose a model in which particles flow in a two dimensional rotated square lattice. When the number of particles present in a site is larger than a threshold, one particle is transferred to a neighboring site.…”
Section: Plastic Depinningmentioning
confidence: 99%
“…For instance, Refs. [73,74] propose a model in which particles flow in a two dimensional rotated square lattice. When the number of particles present in a site is larger than a threshold, one particle is transferred to a neighboring site.…”
Section: Plastic Depinningmentioning
confidence: 99%
“…Driven particles moving over random quenched disorder provide an ideal class of systems for studying this issue [5]. Physical realizations of such systems include vortices in type-II superconductors [6,7], driven Wigner crystals [8], magnetic bubble arrays [9], driven pattern forming systems [10], and colloids moving over random landscapes [11].…”
mentioning
confidence: 99%
“…In this paper we extend work on a simple model 20,21 of point vortices in a thin film. It exhibits two phases: if the driving force is small the vortices are all trapped and there is no steady-state current, but if the force exceeds a finite threshold the vortices move in a static channel network whose configuration is determined by the pinning in the sample.…”
Section: Introductionmentioning
confidence: 91%
“…21 ͑where it was called the ''one-deep'' model͒. We briefly define it here and discuss it in more detail in Sec.…”
Section: B Modelmentioning
confidence: 99%