Current quantization and fractal hierarchy in a driven repulsive lattice gas

Pietro Rotondo, Alessandro Luigi Sellerio, Pietro Glorioso, Sergio Caracciolo, Marco Cosentino Lagomarsino, and Marco Gherardi
Phys. Rev. E 96, 052141 – Published 29 November 2017

Abstract

Driven lattice gases are widely regarded as the paradigm of collective phenomena out of equilibrium. While such models are usually studied with nearest-neighbor interactions, many empirical driven systems are dominated by slowly decaying interactions such as dipole-dipole and Van der Waals forces. Motivated by this gap, we study the nonequilibrium stationary state of a driven lattice gas with slow-decayed repulsive interactions at zero temperature. By numerical and analytical calculations of the particle current as a function of the density and of the driving field, we identify (i) an abrupt breakdown transition between insulating and conducting states, (ii) current quantization into discrete phases where a finite current flows with infinite differential resistivity, and (iii) a fractal hierarchy of excitations, related to the Farey sequences of number theory. We argue that the origin of these effects is the competition between scales, which also causes the counterintuitive phenomenon that crystalline states can melt by increasing the density.

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  • Received 5 December 2016
  • Revised 20 August 2017

DOI:https://doi.org/10.1103/PhysRevE.96.052141

©2017 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsCondensed Matter, Materials & Applied PhysicsGeneral Physics

Authors & Affiliations

Pietro Rotondo1,2, Alessandro Luigi Sellerio3, Pietro Glorioso3, Sergio Caracciolo3,4, Marco Cosentino Lagomarsino5,6, and Marco Gherardi3,5,*

  • 1School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, United Kingdom
  • 2Centre for the Mathematics and Theoretical Physics of Quantum Non-equilibrium Systems, University of Nottingham, Nottingham NG7 2RD, United Kingdom
  • 3Dipartimento di Fisica, Università degli Studi di Milano, via Celoria 16, 20133 Milano, Italy
  • 4INFN Milano, via Celoria 16, 20133 Milano, Italy
  • 5Sorbonne Universités, UPMC Univ Paris 06, UMR 7238, Computational and Quantitative Biology, 5 Place Jussieu, 75005 Paris, France
  • 6CNRS, UMR 7238, Computational and Quantitative Biology, France

  • *Corresponding author: marco.gherardi@mi.infn.it

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Issue

Vol. 96, Iss. 5 — November 2017

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