Search results for "Diffusion"

showing 10 items of 1615 documents

Diffusion in Flashing Periodic Potentials

2005

The one-dimensional overdamped Brownian motion in a symmetric periodic potential modulated by external time-reversible noise is analyzed. The calculation of the effective diffusion coefficient is reduced to the mean first passage time problem. We derive general equations to calculate the effective diffusion coefficient of Brownian particles moving in arbitrary supersymmetric potential modulated: (i) by external white Gaussian noise and (ii) by Markovian dichotomous noise. For both cases the exact expressions for the effective diffusion coefficient are derived. We obtain acceleration of diffusion in comparison with the free diffusion case for fast fluctuating potentials with arbitrary profil…

PhysicsFluctuating Rectangular Periodic PotentialStatistical Mechanics (cond-mat.stat-mech)Mathematical analysisFOS: Physical sciencesSawtooth waveCondensed Matter - Soft Condensed MatterCondensed Matter PhysicsNoise (electronics)Electronic Optical and Magnetic Materialssymbols.namesakeAccelerationAdditive white Gaussian noisesymbolsSoft Condensed Matter (cond-mat.soft)Effective diffusion coefficientDiffusion (business)First-hitting-time modelBrownian motionCondensed Matter - Statistical Mechanics
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Applications and Implications of Fractional Dynamics for Dielectric Relaxation

2012

This article summarizes briefly the presentation given by the author at the NATO Advanced Research Workshop on “Broadband Dielectric Spectroscopy and its Advanced Technological Applications”, held in Perpignan, France, in September 2011. The purpose of the invited presentation at the workshop was to review and summarize the basic theory of fractional dynamics (Hilfer, Phys Rev E 48:2466, 1993; Hilfer and Anton, Phys Rev E Rapid Commun 51:R848, 1995; Hilfer, Fractals 3(1):211, 1995; Hilfer, Chaos Solitons Fractals 5:1475, 1995; Hilfer, Fractals 3:549, 1995; Hilfer, Physica A 221:89, 1995; Hilfer, On fractional diffusion and its relation with continuous time random walks. In: Pekalski et al. …

PhysicsFractional dynamicsAnomalous diffusionFractional diffusionRelaxation (physics)Fractional calculusMathematical physicsBroadband dielectric spectroscopy
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Rotational Motion of Linear Molecules in Three Dimensions. A Path-Integral Monte Carlo Approach

1994

Abstract A path-integral Monte Carlo (PIMC) simulation method for the rotational motion of linear molecules in three dimensions is presented. The technique is applied to an H2 impurity in a static crystal-field. The resulting orientational distributions from quantum and classical simulations are obtained and discussed. The algorithm suffers from the “sign problem” of quantum simulations. However, as can be seen by comparing the low temperature simulation result to the variational solution of the Schrodinger equation, the PIMC method captures the quantum fluctuations.

PhysicsGeneral Chemical EngineeringQuantum Monte CarloMonte Carlo methodGeneral ChemistryCondensed Matter PhysicsHybrid Monte CarloModeling and SimulationDynamic Monte Carlo methodGeneral Materials ScienceMonte Carlo integrationDiffusion Monte CarloStatistical physicsPath integral Monte CarloInformation SystemsMonte Carlo molecular modelingMolecular Simulation
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Non-Markovian Wave Function Simulations of Quantum Brownian Motion

2005

The non-Markovian wave function method (NMWF) using the stochastic unravelling of the master equation in the doubled Hilbert space is implemented for quantum Brownian motion. A comparison between the simulation and the analytical results shows that the method can be conveniently used to study the non-Markovian dynamics of the system.

PhysicsGeometric Brownian motiondynamicLindblad equationCondensed Matter PhysicsStochastic differential equationClassical mechanicsDiffusion processQuantum stochastic calculusQuantum stateMaster equationQuantum dissipationsystem-environment correlationsenvironment
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One-Dimensional Diffusion

2009

PhysicsHeterogeneous random walk in one dimensionOne dimensional diffusionAnomalous diffusionStochastic processStatistical physicsDiffusion (business)Random walk
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Matrix solutions of diffusion equation

2002

PhysicsHill differential equationPartial differential equationDiffusion equationApplied MathematicsMathematical analysisGeneral EngineeringGeneral MedicineBurgers' equationComputational Mathematicssymbols.namesakeMatrix (mathematics)Riccati equationsymbolsFokker–Planck equationConvection–diffusion equationGeneral Economics Econometrics and FinanceAnalysisNonlinear Analysis: Real World Applications
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Dissipation and decoherence in Brownian motion

2007

We consider the evolution of a Brownian particle described by a measurement-based master equation. We derive the solution to this equation for general initial conditions and apply it to a Gaussian initial state. We analyse the effects of the diffusive terms, present in the master equation, and describe how these modify uncertainties and coherence length. This allows us to model dissipation and decoherence in quantum Brownian motion.

PhysicsHistoryGeometric Brownian motionFractional Brownian motionBrownian excursionHeavy traffic approximationComputer Science ApplicationsEducationClassical mechanicsReflected Brownian motionDiffusion processMaster equationFokker–Planck equationStatistical physicsJournal of Physics: Conference Series
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HOW MONTE CARLO SIMULATIONS CAN CLARIFY COMPLEX PROBLEMS IN STATISTICAL PHYSICS

2001

Statistical mechanics of condensed matter systems in physics (fluids and solids) derives macroscopic equilibrium properties of these systems as averages computed from a Hamiltonian that describes the atomistic interactions in the system. While analytic methods for most problems involve uncontrolled approximations, Monte Carlo simulations allow numerically exact treatments, apart from statistical errors and from the systematic problem that finite systems are treated rather than the thermodynamic limit. However, this problem can be overcome by finite size scaling methods, and thus Monte Carlo methods have become a very powerful tool to study even complex phase transitions. Examples given wil…

PhysicsHybrid Monte CarloQuantum Monte CarloMonte Carlo methodDynamic Monte Carlo methodStatistical and Nonlinear PhysicsMonte Carlo integrationDiffusion Monte CarloMonte Carlo method in statistical physicsStatistical physicsCondensed Matter PhysicsMonte Carlo molecular modelingInternational Journal of Modern Physics B
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The relaxation-time limit in the quantum hydrodynamic equations for semiconductors

2006

Abstract The relaxation-time limit from the quantum hydrodynamic model to the quantum drift–diffusion equations in R 3 is shown for solutions which are small perturbations of the steady state. The quantum hydrodynamic equations consist of the isentropic Euler equations for the particle density and current density including the quantum Bohm potential and a momentum relaxation term. The momentum equation is highly nonlinear and contains a dispersive term with third-order derivatives. The equations are self-consistently coupled to the Poisson equation for the electrostatic potential. The relaxation-time limit is performed both in the stationary and the transient model. The main assumptions are…

PhysicsIndependent equationApplied MathematicsGlobal relaxation-time limitQuantum hydrodynamic equationsEuler equationsMomentumNonlinear systemsymbols.namesakeClassical mechanicsThird-order derivativesMaster equationQuantum drift–diffusion equationssymbolsMethod of quantum characteristicsPoisson's equationQuantum dissipationAnalysisJournal of Differential Equations
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Kerr effect as a tool for the investigation of dynamic heterogeneities

2006

We propose a dynamic Kerr effect experiment for the distinction between dynamic heterogeneous and homogeneous relaxation in glassy systems. The possibility of this distinction is due to the inherent nonlinearity of the Kerr effect signal. We model the slow reorientational molecular motion in supercooled liquids in terms of non-inertial rotational diffusion. The Kerr effect response, consisting of two terms, is calculated for heterogeneous and for homogeneous variants of the stochastic model. It turns out that the experiment is able to distinguish between the two scenarios. We furthermore show that exchange between relatively 'slow' and 'fast' environments does not affect the possibility of …

PhysicsKerr effectStochastic modellingRelaxation (NMR)General Physics and AstronomyRotational diffusionFOS: Physical sciencesCondensed Matter - Soft Condensed MatterSignalNonlinear systemDistribution (mathematics)Soft Condensed Matter (cond-mat.soft)Statistical physicsPhysical and Theoretical ChemistrySupercooling
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