Search results for "Statistical"

showing 10 items of 4960 documents

Phase transitions in nonadditive hard disc systems: a Gibbs ensemble Monte Carlo Study

2007

we study the properties of a model fluid in two dimensions with Gibbs ensemble Monte Carlo (GEMC) techniques, in particular we analyze the entropy-driven phase separation in case of a nonadditive symmetric hard disc fluid. By a combination of GEMC with finite size scaling techniques we locate the critical line of nonadditivities as a function of the system density, which separates the mixing/demixing regions and compare with a simple analytical approximation.

Condensed Matter::Soft Condensed MatterCanonical ensemblePhysicsPhase transitionCritical lineMonte Carlo methodDynamic Monte Carlo methodStatistical physicsFunction (mathematics)ScalingMixing (physics)
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Monte Carlo Simulations of Polymer Systems

1988

The impact of Monte Carlo “computer experiments” in polymer physics is described, emphasizing three examples taken from the author’s research group. The first example is a test of the classical Flory—Huggins theory for polymer mixtures, including a discussion of cricital phenomena. Also “technical aspects” of such simulations (“grand-canonical” ensemble, finite—size scaling, etc.) are explained briefly. The second example refers to configurational statistics and dynamics of chains confined to cylindrical tubes; the third example deals with the adsorption of polymers at walls. These simulations check scaling concepts developed along the lines of de Gennes.

Condensed Matter::Soft Condensed MatterHybrid Monte CarloPhysicsMonte Carlo methodDynamic Monte Carlo methodPolymer physicsMonte Carlo method in statistical physicsStatistical physicsKinetic Monte CarloParallel temperingMonte Carlo molecular modeling
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Monte Carlo Simulations in Polymer Science

2012

Monte Carlo methods are useful for computing the statistical properties of both single macromolecules of various chemical architectures and systems containing many polymers (solutions, melts, blends, etc.). Starting with simple models (lattice models such as the self-avoiding walk or the bond fluctuation model, as well as coarse-grained or chemically realistic models in the continuum) various algorithms exist to generate conformations typical for thermal equilibrium, but dynamic Monte Carlo methods can also model diffusion and relaxation processes (as described by the Rouse and the reptation models for polymer melt dynamics). Limitations of the method are explained, and also the measures to…

Condensed Matter::Soft Condensed MatterHybrid Monte CarloQuantitative Biology::BiomoleculesComputer scienceQuantum Monte CarloMonte Carlo methodDynamic Monte Carlo methodMonte Carlo integrationMonte Carlo method in statistical physicsStatistical physicsKinetic Monte CarloMonte Carlo molecular modeling
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Small-Angle Excess Scattering: Glassy Freezing or Local Orientational Ordering?

1996

We present Monte Carlo simulations of a dense polymer melt which shows glass-transition-like slowing-down upon cooling, as well as a build up of nematic order. At small wave vectors q this model system shows excess scattering similar to that recently reported for light-scattering experiments on some polymeric and molecular glass-forming liquids. For our model system we can provide clear evidence that this excess scattering is due to the onset of short-range nematic order and not directly related to the glass transition.

Condensed Matter::Soft Condensed MatterMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Condensed matter physicsScatteringLiquid crystalMonte Carlo methodFOS: Physical sciencesGeneral Physics and AstronomyModel systemGlass transitionCondensed Matter - Statistical MechanicsPolymer meltPhysical Review Letters
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Computer Simulations for Polymer Dynamics

1991

In this paper we review recent work on the dynamics of polymeric systems using computer simulation methods. For a two-dimensional polymer melt, we show that the chains segregate and the dynamics can be described very well by the Rouse model. This simulation was carried out using the bond fluctuation Monte Carlo method. For three-dimensional (3d) melts and for the study of hydrodynamic effects, we use a molecular dynamics simulation. For 3d melts our results strongly support the concept of reptation. A detailed comparison to experiment shows that we can predict the time and length scales for the onset of reptation for a variety of polymeric liquids. For a single chain, we find the expected h…

Condensed Matter::Soft Condensed MatterPersistence lengthMean squared displacementQuantitative Biology::BiomoleculesWork (thermodynamics)ReptationMolecular dynamicsMaterials scienceMonte Carlo methodStatistical physicsScalingFick's laws of diffusion
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Brownian dynamics of polydisperse colloidal hard spheres: Equilibrium structures and random close packings

1994

Recently we presented a new technique for numerical simulations of colloidal hard-sphere systems and showed its high efficiency. Here, we extend our calculations to the treatment of both 2- and 3-dimensional monodisperse and 3-dimensional polydisperse systems (with sampled finite Gaussian size distribution of particle radii), focusing on equilibrium pair distribution functions and structure factors as well as volume fractions of random close packing (RCP). The latter were determined using in principle the same technique as Woodcock or Stillinger had used. Results for the monodisperse 3-dimensional system show very good agreement compared to both pair distribution and structure factor predic…

Condensed Matter::Soft Condensed MatterPhase transitionDistribution functionMaterials scienceRandom close packVolume fractionBrownian dynamicsThermodynamicsStatistical and Nonlinear PhysicsHard spheresAtomic packing factorStructure factorMathematical PhysicsJournal of Statistical Physics
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Monte Carlo Simulations of Growth Kinetics and Phase Transitions at Interfaces: Some Recent Results

1991

ABSTRACTIn the first part Monte Carlo studies of the kinetics of multilayer adsorption (without screening) are described. The approach to the jamming coverage in each layer is asymptotically exponential. The jamming coverages approach the infinite-layer limit value according to a power law. In the second part, studies of phase transitions in two dimensional fluids are reviewed. With a combination of Monte Carlo and finite size scaling block analysis techniques, accurate values are obtained for the critical temperatures, coexistence densities and the compressibilities of an adsorbed fluid layer in an NVT ensemble.

Condensed Matter::Soft Condensed MatterPhase transitionMaterials scienceMonte Carlo methodDynamic Monte Carlo methodJammingStatistical physicsKinetic Monte CarloPower lawScalingMonte Carlo molecular modelingMRS Proceedings
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Isotropic–isotropic phase separation in mixtures of rods and spheres: Some aspects of Monte Carlo simulation in the grand canonical ensemble

2008

Abstract In this article we consider mixtures of non-adsorbing polymers and rod-like colloids in the isotropic phase, which upon the addition of polymers show an effective attraction via depletion forces. Above a certain concentration, the depletant causes phase separation of the mixture. We performed Monte Carlo simulations to estimate the phase boundaries of isotropic–isotropic coexistence. To determine the phase boundaries we simulated in the grand canonical ensemble using successive umbrella sampling [J. Chem. Phys. 120 (2004) 10925]. The location of the critical point was estimated by a finite size scaling analysis. In order to equilibrate the system efficiently, we used a cluster move…

Condensed Matter::Soft Condensed MatterPhysicsCanonical ensembleHybrid Monte CarloGrand canonical ensembleHardware and ArchitectureQuantum Monte CarloMonte Carlo methodDynamic Monte Carlo methodGeneral Physics and AstronomyKinetic Monte CarloStatistical physicsMonte Carlo molecular modelingComputer Physics Communications
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Glass transitions and scaling laws within an alternative mode-coupling theory

2015

Idealized glass transitions are discussed within an alternative mode-coupling theory (TMCT) proposed by Tokuyama [Physica A 395, 31 (2014)]. This is done in order to identify common ground with and differences from the conventional mode-coupling theory (MCT). It is proven that both theories imply the same scaling laws for the transition dynamics, which are characterized by two power-law decay functions and two diverging power-law time scales. However, the values for the corresponding anomalous exponents calculated within both theories differ from each other. It is proven that the TMCT, contrary to the MCT, does not describe transitions with continuously vanishing arrested parts of the corre…

Condensed Matter::Soft Condensed MatterScaling lawTheoretical physicsStatistical Mechanics (cond-mat.stat-mech)Mode couplingFOS: Physical sciencesOrder (group theory)Gravitational singularityDisordered Systems and Neural Networks (cond-mat.dis-nn)Schematic modelCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter - Statistical MechanicsMathematics
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The ensemble switch method for computing interfacial tensions

2015

We present a systematic thermodynamic integration approach to compute interfacial tensions for solid-liquid interfaces, which is based on the ensemble switch method. Applying Monte Carlo simulations and finite-size scaling techniques, we obtain results for hard spheres, which are in agreement with previous computations. The case of solid-liquid interfaces in a variant of the effective Asakura-Oosawa model and of liquid-vapor interfaces in the Lennard-Jones model are discussed as well. We demonstrate that a thorough finite-size analysis of the simulation data is required to obtain precise results for the interfacial tension.

Condensed Matter::Soft Condensed MatterSurface tensionLennard-Jones potentialChemistryComputationMonte Carlo methodGeneral Physics and AstronomyThermodynamic integrationSPHERESStatistical physicsHard spheresPhysical and Theoretical ChemistryScalingThe Journal of Chemical Physics
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