13 results match your criteria: "Center for Stochastic Processes in Science and Engineering[Affiliation]"

Spatial rock-paper-scissors models with inhomogeneous reaction rates.

Phys Rev E Stat Nonlin Soft Matter Phys

November 2010

Department of Physics and Center for Stochastic Processes in Science and Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061-0435, USA.

We study several variants of the stochastic four-state rock-paper-scissors game or, equivalently, cyclic three-species predator-prey models with conserved total particle density, by means of Monte Carlo simulations on one- and two-dimensional lattices. Specifically, we investigate the influence of spatial variability of the reaction rates and site occupancy restrictions on the transient oscillations of the species densities and on spatial correlation functions in the quasistationary coexistence state. For small systems, we also numerically determine the dependence of typical extinction times on the number of lattice sites.

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Inhomogeneous exclusion processes with extended objects: the effect of defect locations.

Phys Rev E Stat Nonlin Soft Matter Phys

November 2007

Center for Stochastic Processes in Science and Engineering, Department of Physics, Virginia Tech, Blacksburg, Virginia 24061-0435, USA.

We study the effects of local inhomogeneities, i.e., slow sites of hopping rate q<1, in a totally asymmetric simple exclusion process for particles of size l>or=1 (in units of the lattice spacing).

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Coarsening of "clouds" and dynamic scaling in a far-from-equilibrium model system.

Phys Rev E Stat Nonlin Soft Matter Phys

April 2007

Center for Stochastic Processes in Science and Engineering, Department of Physics, Virginia Tech, Blacksburg, VA 24061-0435, USA.

A two-dimensional lattice gas of two species, driven in opposite directions by an external force, undergoes a jamming transition if the filling fraction is sufficiently high. Using Monte Carlo simulations, we investigate the growth of these jams (''clouds''), as the system approaches a nonequilibrium steady state from a disordered initial state. We monitor the dynamic structure factor S(k{x},k{y};t) and find that the k{x}=0 component exhibits dynamic scaling, of the form S(0,k{y};t)=t;{beta}S[over](k{y}t;{alpha}) .

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Strongly anisotropic roughness in surfaces driven by an oblique particle flux.

Phys Rev E Stat Nonlin Soft Matter Phys

May 2006

Center for Stochastic Processes in Science and Engineering, Department of Physics, Virginia Tech, Blacksburg, Virginia 24061-0435, USA.

Using field theoretic renormalization, an MBE-type growth process with an obliquely incident influx of atoms is examined. The projection of the beam on the substrate plane selects a "parallel" direction, with rotational invariance restricted to the transverse directions. Depending on the behavior of an effective anisotropic surface tension, a line of second-order transitions is identified, as well as a line of potentially first-order transitions, joined by a multicritical point.

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Exact dynamics of a reaction-diffusion model with spatially alternating rates.

Phys Rev E Stat Nonlin Soft Matter Phys

May 2005

Center for Stochastic Processes in Science and Engineering, Department of Physics, Virginia Tech, Blacksburg, Virginia 24061-0435, USA.

We present the exact solution for the full dynamics of a nonequilibrium spin chain and its dual reaction-diffusion model, for arbitrary initial conditions. The spin chain is driven out of equilibrium by coupling alternating spins to two thermal baths at different temperatures. In the reaction-diffusion model, this translates into spatially alternating rates for particle creation and annihilation, and even negative "temperatures" have a perfectly natural interpretation.

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We present precision Monte Carlo data and analytic arguments for an asymmetric exclusion process, involving two species of particles driven in opposite directions on a 2xL lattice. To resolve a stark discrepancy between earlier simulation data and an analytic conjecture, we argue that the presence of a single macroscopic cluster is an intermediate stage of a complex nucleation process: in smaller systems, this cluster is destabilized while larger systems form multiple clusters. Both limits lead to exponential cluster size distributions, controlled by very different length scales.

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Voting and catalytic processes with inhomogeneities.

Phys Rev E Stat Nonlin Soft Matter Phys

April 2005

Center for Stochastic Processes in Science and Engineering, Department of Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061-0435, USA.

We consider the dynamics of the voter model and of the monomer-monomer catalytic process in the presence of many "competing" inhomogeneities and show, through exact calculations and numerical simulations, that their presence results in a non-trivial fluctuating steady state whose properties are studied and turn out to specifically depend on the dimensionality of the system, the strength of the inhomogeneities, and their separating distances. In fact, in arbitrary dimensions, we obtain an exact (yet formal) expression of the order parameters (magnetization and concentration of adsorbed particles) in the presence of an arbitrary number n of inhomogeneities ("zealots" in the voter language) and formal similarities with suitable electrostatic systems are pointed out. In the non-trivial cases n = 1,2, we explicitly compute the static and long-time properties of the order parameters and therefore capture the generic features of the systems.

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Dynamics of a passive sliding particle on a randomly fluctuating surface.

Phys Rev E Stat Nonlin Soft Matter Phys

January 2004

Department of Physics and Center for Stochastic Processes in Science and Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061-0211, USA.

We study the motion of a particle sliding under the action of an external field on a stochastically fluctuating one-dimensional Edwards-Wilkinson surface. Numerical simulations using the single-step model shows that the mean-square displacement of the sliding particle shows distinct dynamic scaling behavior, depending on whether the surface fluctuates faster or slower than the motion of the particle. When the surface fluctuations occur on a time scale much smaller than the particle motion, we find that the characteristic length scale shows anomalous diffusion with xi(t) approximately t(2phi), where phi approximately 0.

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Persistence in q-state Potts model: a mean-field approach.

Phys Rev E Stat Nonlin Soft Matter Phys

February 2003

Department of Physics and Center for Stochastic Processes in Science and Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA.

We study the persistence properties of the T=0 coarsening dynamics of one-dimensional q-state Potts model using a modified mean-field approximation (MMFA). In this approximation, the spatial correlations between the interfaces separating spins with different Potts states is ignored, but the correct time dependence of the mean density P(t) of persistent spins is imposed. For this model, it is known that P(t) follows a power-law decay with time, P(t) approximately t(-theta(q)), where theta(q) is the q-dependent persistence exponent.

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A kinetic one-dimensional Ising model on a ring evolves according to a generalization of Glauber rates, such that spins at even (odd) lattice sites experience a temperature T(e) (T(o)). Detailed balance is violated so that the spin chain settles into a nonequilibrium stationary state, characterized by multiple interactions of increasing range and spin order. We derive the equations of motion for arbitrary correlation functions and solve them to obtain an exact representation of the steady state.

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The time evolution of structure factors (SF) in the disordering process of an initially phase-separated lattice depends crucially on the microscopic disordering mechanism, such as Kawasaki dynamics (KD) or vacancy-mediated disordering (VMD). Monte Carlo simulations show unexpected "dips" in the SFs. A phenomenological model is introduced to explain the dips in the odd SFs, and an analytical solution of KD is derived, in excellent agreement with simulations.

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Field-induced vacancy localization in a driven lattice gas: scaling of steady states.

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics

January 2000

Lehrstuhl WTM, Universitat Erlangen-Nurnberg, Martensstrasse 5, 91058 Erlangen, Germany and Center for Stochastic Processes in Science and Engineering and Department of Physics, Virginia Tech, Blacksburg, Virginia 24061-0435, USA.

With the help of Monte Carlo simulations and a mean-field theory, we investigate the ordered steady-state structures resulting from the motion of a single vacancy on a periodic lattice which is filled with two species of oppositely "charged" particles. An external field biases particle-vacancy exchanges according to the particle's charge, subject to an excluded volume constraint. The steady state exhibits charge segregation, and the vacancy is localized at one of the two characteristic interfaces.

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Viability of competing field theories for the driven lattice gas.

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics

May 2000

Center for Stochastic Processes in Science and Engineering, Virginia Tech, Blacksburg 24061-0435, USA.

It has recently been suggested that the driven lattice gas should be described by an alternate field theory in the limit of infinite drive. We review the original and the alternate field theory, invoking several well-documented key features of the microscopics. Since the alternate field theory fails to reproduce these characteristics, we argue that it cannot serve as a viable description of the driven lattice gas.

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