Search results for "Condensed Matter::Statistical Mechanics"

showing 10 items of 24 documents

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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Finite-size scaling in a microcanonical ensemble

1988

The finite-size scaling technique is extended to a microcanonical ensemble. As an application, equilibrium magnetic properties of anL×L square lattice Ising model are computed using the microcanonical ensemble simulation technique of Creutz, and the results are analyzed using the microcanonical ensemble finite-size scaling. The computations were done on the multitransputer system of the Condensed Matter Theory Group at the University of Mainz.

Canonical ensembleStatistical ensemblePhysicsMicrocanonical ensembleThermodynamic betaIsothermal–isobaric ensembleCondensed Matter::Statistical MechanicsStatistical and Nonlinear PhysicsIsing modelSquare-lattice Ising modelStatistical mechanicsStatistical physicsMathematical PhysicsJournal of Statistical Physics
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Comment on “Accurate ground-state phase diagram of the one-dimensional extended Hubbard model at half filling”

2004

In PRB 68, 153101 (2003), Guoping Zhang presented density-matrix renormalization group (DMRG) results which contradict my DMRG calculations and Hirsch's quantum Monte Carlo (QMC) simulations for the charge-density-wave (CDW) phase boundary in the one-dimensional extended Hubbard model at half filling. In this Comment I show that Zhang's results are inaccurate and that his criticism of my work is groundless.

Condensed Matter::Quantum GasesPhysicsWork (thermodynamics)Strongly Correlated Electrons (cond-mat.str-el)Hubbard modelZhàngFOS: Physical sciencesBoundary (topology)Condensed Matter PhysicsElectronic Optical and Magnetic MaterialsCondensed Matter - Strongly Correlated ElectronsTheoretical physicsQuantum electrodynamicsCondensed Matter::Statistical MechanicsCondensed Matter::Strongly Correlated ElectronsGround statePhase diagramPhysical Review B
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Critical phenomena without “hyper scaling”: How is the finite-size scaling analysis of Monte Carlo data affected?

2010

Abstract The finite size scaling analysis of Monte Carlo data is discussed for two models for which hyperscaling is violated: (i) the random field Ising model (using a model for a colloid-polymer mixture in a random matrix as a representative) (ii) The Ising bi-pyramid in computing surface fields.

Hybrid Monte CarloPhysicsQuantum Monte CarloMonte Carlo methodCondensed Matter::Statistical MechanicsDynamic Monte Carlo methodMonte Carlo integrationIsing modelMonte Carlo method in statistical physicsStatistical physicsPhysics and Astronomy(all)Condensed Matter::Disordered Systems and Neural NetworksMonte Carlo molecular modelingPhysics Procedia
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"Table 9" of "Multiplicity dependence of jet-like two-particle correlations in p-Pb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV"

2014

ratio between number of uncorrelated seeds and Glauber Ncoll vs V0A multiplicity classes.

Inclusive5020.0Nuclear TheoryCondensed Matter::Statistical MechanicsNuclear ExperimentP PB --> CHARGED X
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Monte Carlo study of the ising model phase transition in terms of the percolation transition of “physical clusters”

1990

Finite squareL×L Ising lattices with ferromagnetic nearest neighbor interaction are simulated using the Swendsen-Wang cluster algorithm. Both thermal properties (internal energyU, specific heatC, magnetization 〈|M|〉, susceptibilityχ) and percolation cluster properties relating to the “physical clusters,” namely the Fortuin-Kasteleyn clusters (percolation probability 〈P∞〉, percolation susceptibilityχp, cluster size distributionnl) are evaluated, paying particular attention to finite-size effects. It is shown that thermal properties can be expressed entirely in terms of cluster properties, 〈P∞〉 being identical to 〈|M|〉 in the thermodynamic limit, while finite-size corrections differ. In contr…

Phase transitionCondensed matter physicsSwendsen–Wang algorithmMonte Carlo methodStatistical and Nonlinear PhysicsCorrelation function (statistical mechanics)PercolationThermodynamic limitCondensed Matter::Statistical MechanicsCluster (physics)Ising modelStatistical physicsMathematical PhysicsMathematicsJournal of Statistical Physics
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Noise enhanced stability in magnetic systems

2009

In this paper noise enhanced stability in magnetic systems is studied by both an Ising-type model and a Preisach–Arrhenius model as well as a dynamic Preisach model. It is shown that in one nonequilibrium Ising system noise enhanced stability occurs and that dynamic Preisach model has the capability to predict the occurrence of noise enhanced stability in magnetic systems. On the contrary, in a Preisach–Arrhenius model of a single quadrant magnetic material, noise enhanced stability is not detected.

PhysicsMagnetic noiseCondensed matter physicsIsing systemGeneral Physics and AstronomyNon-equilibrium thermodynamicsSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciCondensed Matter::Disordered Systems and Neural NetworksElectric Machines Power Systems Electric TechnologyMagnetizationMagnetCondensed Matter::Statistical MechanicsIsing modelStatistical physics
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Finite-size tests of hyperscaling.

1985

The possible form of hyperscaling violations in finite-size scaling theory is discussed. The implications for recent tests in Monte Carlo simulations of the d = 3 Ising model are examined, and new results for the d = 5 Ising model are presented.

PhysicsMonte Carlo methodCondensed Matter::Statistical MechanicsSquare-lattice Ising modelMonte Carlo method in statistical physicsIsing modelStatistical physicsScaling theoryCondensed Matter::Disordered Systems and Neural NetworksMonte Carlo molecular modelingPhysical review. B, Condensed matter
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Determination of the stochastic evolution equation from noisy experimental data

2003

We have determined the coefficients of the Kardar-Parisi-Zhang equation as functions of coarse graining, which best describe the time evolution and spatial behavior observed for slow-combustion fronts in sheets of paper and magnetic flux fronts in a thin-film high-Tc superconductor. Reconstruction of the relevant equation of motion and its coefficients was mainly based on the inverse method proposed by Lam and Sander [Phys. Rev. Lett. 71, 561 (1993)]. The coefficient of the nonlinear term was also determined from the local slope-dependence of the front velocity.

PhysicsNonlinear systemStochastic processCondensed Matter::Statistical MechanicsFront velocityTime evolutionEquations of motionStatistical physicsInverse problemCondensed Matter PhysicsMagnetic fluxElectronic Optical and Magnetic MaterialsKardar–Parisi–Zhang equationThe European Physical Journal B - Condensed Matter
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Corner contribution to cluster numbers in the Potts model

2013

For the two-dimensional Q-state Potts model at criticality, we consider Fortuin-Kasteleyn and spin clusters and study the average number N_Gamma of clusters that intersect a given contour Gamma. To leading order, N_Gamma is proportional to the length of the curve. Additionally, however, there occur logarithmic contributions related to the corners of Gamma. These are found to be universal and their size can be calculated employing techniques from conformal field theory. For the Fortuin-Kasteleyn clusters relevant to the thermal phase transition we find agreement with these predictions from large-scale numerical simulations. For the spin clusters, on the other hand, the cluster numbers are no…

PhysicsPhase transitionLogarithmStatistical Mechanics (cond-mat.stat-mech)Conformal field theoryAnalytic continuationOrder (ring theory)FOS: Physical sciencesCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsCluster (physics)Condensed Matter::Statistical MechanicsCondensed Matter - Statistical MechanicsMathematical physicsSpin-½Potts model
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