Continuous Time Monte Carlo and Spatial Ordering in Driven Lattice Gases: Application to Driven Vortices in Periodic Superconducting Networks
Violeta Gotcheva, Yanting Wang, Albert T. J. Wang, S. Teitel

TL;DR
This paper compares different dynamical rules for driven lattice Coulomb gases, showing that continuous time Monte Carlo preserves spatial order better than Metropolis dynamics, and explores the resulting phases and ordering phenomena.
Contribution
It introduces a continuous time Monte Carlo method for driven Coulomb gases, demonstrating its physical accuracy and analyzing spatial ordering and phase behavior.
Findings
Metropolis dynamics destroys equilibrium lattice order under drive.
CTMC preserves spatial order at low temperatures.
Long-range hexatic order appears in driven square lattice liquids.
Abstract
We consider the two dimensional (2D) classical lattice Coulomb gas as a model for magnetic field induced vortices in 2D superconducting networks. Two different dynamical rules are introduced to investigate driven diffusive steady states far from equilibrium as a function of temperature and driving force. The resulting steady states differ dramatically depending on which dynamical rule is used. We show that the commonly used driven diffusive Metropolis Monte Carlo dynamics contains unphysical intrinsic randomness that destroys the spatial ordering present in equilibrium (the vortex lattice) over most of the driven phase diagram. A continuous time Monte Carlo (CTMC) is then developed, which results in spatially ordered driven states at low temperature in finite sized systems. We show that CTMC is the natural discretization of continuum Langevin dynamics, and argue that it gives the…
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