0000000000121897

AUTHOR

Anthony N. Burkitt

showing 3 related works from this author

Exponential Relaxation out of Nonequilibrium

1989

Simulation results are presented for a quench from a disordered state to a state below the coexistence curve. The model which we consider is the Ising model but with the dynamics governed by the Swendsen-Wang transition probabilities. We show that the resulting domain growth has an exponential instead of a power law behaviour and that the system is non-self-averaging while in nonequilibrium. The simulations were carried out on a parallel computer with up to 128 processors.

BinodalPhysicsCondensed Matter::Statistical MechanicsGeneral Physics and AstronomyRelaxation (physics)Non-equilibrium thermodynamicsIsing modelStatistical physicsState (functional analysis)Power lawDomain (mathematical analysis)Exponential functionEurophysics Letters (EPL)
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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

2017

International audience; No abstract available

0301 basic medicineCerebellumComputer science[SDV]Life Sciences [q-bio]General Neurosciencelcsh:QP351-495Meeting Abstractslcsh:RC321-57103 medical and health sciencesCellular and Molecular Neurosciencelcsh:Neurophysiology and neuropsychology030104 developmental biologymedicine.anatomical_structuremedicineNeuronlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeuroscienceComputingMilieux_MISCELLANEOUScomputational neuroscienceBMC Neuroscience
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System size dependence of the autocorrelation time for the Swendsen-Wang Ising model

1990

Abstract We present Monte Carlo simulation results of the autocorrelation time for the Swendsen-Wang method for the simulation of the Ising model. We have calculated the exponential and the integrated autocorrelation time at the critical point T c of the two-dimensional Ising model. Our results indicate that both autocorrelation times depend logarithmically on the linear system size L instead of a power law. The simulations were carried out on the parallel computer of the condensed matter theory group at the University of Mainz.

Statistics and ProbabilityComputer simulationCritical point (thermodynamics)AutocorrelationMonte Carlo methodSquare-lattice Ising modelIsing modelStatistical physicsCondensed Matter PhysicsPower lawMathematicsExponential functionPhysica A: Statistical Mechanics and its Applications
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