Search results for " statistical mechanics"

showing 7 items of 557 documents

GPU accelerated Monte Carlo simulations of lattice spin models

2011

We consider Monte Carlo simulations of classical spin models of statistical mechanics using the massively parallel architecture provided by graphics processing units (GPUs). We discuss simulations of models with discrete and continuous variables, and using an array of algorithms ranging from single-spin flip Metropolis updates over cluster algorithms to multicanonical and Wang-Landau techniques to judge the scope and limitations of GPU accelerated computation in this field. For most simulations discussed, we find significant speed-ups by two to three orders of magnitude as compared to single-threaded CPU implementations.

cluster algorithmsStatistical Mechanics (cond-mat.stat-mech)Computer scienceComputationNumerical analysisspin modelsMonte Carlo methodHigh Energy Physics - Lattice (hep-lat)FOS: Physical sciencesStatistical mechanicsGPU computingPhysics and Astronomy(all)Computational Physics (physics.comp-ph)generalized-ensemble simulationsMonte Carlo simulationsComputational scienceCUDAHigh Energy Physics - LatticeSpin modelGeneral-purpose computing on graphics processing unitsGraphicsPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Modeling long-range memory with stationary Markovian processes

2009

In this paper we give explicit examples of power-law correlated stationary Markovian processes y(t) where the stationary pdf shows tails which are gaussian or exponential. These processes are obtained by simply performing a coordinate transformation of a specific power-law correlated additive process x(t), already known in the literature, whose pdf shows power-law tails 1/x^a. We give analytical and numerical evidence that although the new processes (i) are Markovian and (ii) have gaussian or exponential tails their autocorrelation function still shows a power-law decay =1/T^b where b grows with a with a law which is compatible with b=a/2-c, where c is a numerical constant. When a<2(1+c) th…

correlation methodMarkov processeMathematical optimizationStationary distributionStatistical Mechanics (cond-mat.stat-mech)LogarithmStochastic processdiffusionAutocorrelationFOS: Physical sciencesProbability density functionContext (language use)White noiseExponential functionStatistical physicswhite noiseCondensed Matter - Statistical MechanicsMathematics
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Autocatalytic reaction-diffusion processes in restricted geometries

2008

We study the dynamics of a system made up of particles of two different species undergoing irreversible quadratic autocatalytic reactions: $A + B \to 2A$. We especially focus on the reaction velocity and on the average time at which the system achieves its inert state. By means of both analytical and numerical methods, we are also able to highlight the role of topology in the temporal evolution of the system.

diffusion transportStatistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesddc:530Condensed Matter - Statistical Mechanics
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Nonlinear Relaxation in Population Dynamics

2001

We analyze the nonlinear relaxation of a complex ecosystem composed of many interacting species. The ecological system is described by generalized Lotka-Volterra equations with a multiplicative noise. The transient dynamics is studied in the framework of the mean field theory and with random interaction between the species. We focus on the statistical properties of the asymptotic behaviour of the time integral of the i-th population and on the distribution of the population and of the local field.

education.field_of_studyDistribution (number theory)Statistical Mechanics (cond-mat.stat-mech)Applied MathematicsPopulationFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksMultiplicative noiseQuantitative BiologyNonlinear systemMean field theoryModeling and SimulationFOS: Biological sciencesQuantitative Biology::Populations and EvolutionGeometry and TopologyRelaxation (approximation)Statistical physicseducationFocus (optics)Local fieldCondensed Matter - Statistical MechanicsQuantitative Biology (q-bio)Mathematics
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Equilibrium fluid-crystal interfacial free energy of bcc-crystallizing aqueous suspensions of polydisperse charged spheres

2015

The interfacial free energy is a central quantity in crystallization from the meta-stable melt. In suspensions of charged colloidal spheres, nucleation and growth kinetics can be accurately measured from optical experiments. In previous work, from this data effective non-equilibrium values for the interfacial free energy between the emerging bcc-nuclei and the adjacent melt in dependence on the chemical potential difference between melt phase and crystal phase were derived using classical nucleation theory. A strictly linear increase of the interfacial free energy was observed as a function of increased meta-stability. Here, we further analyze this data for five aqueous suspensions of charg…

fluid-crystalMaterials scienceNucleationFOS: Physical sciencesThermodynamicsNon-equilibrium thermodynamicsCondensed Matter - Soft Condensed Matter01 natural scienceslaw.inventionColloidlawMetastability0103 physical sciencesCrystallization010306 general physicsCondensed Matter - Statistical MechanicsCondensed Matter - Materials ScienceAqueous solutionStatistical Mechanics (cond-mat.stat-mech)010304 chemical physicsMaterials Science (cond-mat.mtrl-sci)Condensed Matter::Soft Condensed Matterpolydisperseinterfacial free energySoft Condensed Matter (cond-mat.soft)SPHERESClassical nucleation theoryPhysical Review E
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On the discreet spectrum of fractional quantum hydrogen atom in two dimensions

2019

We consider a fractional generalization of two-dimensional (2D) quantum-mechanical Kepler problem corresponding to 2D hydrogen atom. Our main finding is that the solution for discreet spectrum exists only for $\mu>1$ (more specifically $1 < \mu \leq 2$, where $\mu=2$ corresponds to "ordinary" 2D hydrogenic problem), where $\mu$ is the L\'evy index. We show also that in fractional 2D hydrogen atom, the orbital momentum degeneracy is lifted so that its energy starts to depend not only on principal quantum number $n$ but also on orbital $m$. To solve the spectral problem, we pass to the momentum representation, where we apply the variational method. This permits to obtain approximate analytica…

fractional Schrödinger equationFOS: Physical sciencesPosition and momentum space01 natural sciences010305 fluids & plasmasSchrödinger equationMomentumsymbols.namesakeKepler problem0103 physical sciencesPrincipal quantum number010306 general physicsCondensed Matter - Statistical MechanicsMathematical PhysicsMathematical physicsPhysicsQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)fractional statisticsSpectrum (functional analysis)Mathematical Physics (math-ph)Hydrogen atomCondensed Matter PhysicsAtomic and Molecular Physics and OpticsVariational methodsymbolsQuantum Physics (quant-ph)hydrogenic problemsPhysica Scripta
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Kinetics of phase separation in thin films: Lattice versus continuum models for solid binary mixtures

2008

A description of phase separation kinetics for solid binary (A,B) mixtures in thin film geometry based on the Kawasaki spin-exchange kinetic Ising model is presented in a discrete lattice molecular field formulation. It is shown that the model describes the interplay of wetting layer formation and lateral phase separation, which leads to a characteristic domain size $\ell(t)$ in the directions parallel to the confining walls that grows according to the Lifshitz-Slyozov $t^{1/3}$ law with time $t$ after the quench. Near the critical point of the model, the description is shown to be equivalent to the standard treatments based on Ginzburg-Landau models. Unlike the latter, the present treatmen…

wettingMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Condensed matter physicscritical pointsGinzburg-Landau theoryTime evolutionFOS: Physical sciencesBinary numberfree energyLattice constantthin filmsCritical point (thermodynamics)Lattice (order)Ising modelWettingphase separationThin filmCondensed Matter - Statistical MechanicsWetting layerPhysical Review E
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