Search results for "Dynamic Monte Carlo method"

showing 10 items of 83 documents

Solute-induced Water Structure: Computer Simulation on a Model System

1988

Abstract Two series of Monte Carlo simulations have been carried out on a system consisting of 125 water molecules, one of which is kept fixed to simulate a water molecule whose mobility is restricted by a solute. The results are checked against similar simulations without restrictions, used as a control, and they show how the blocked molecule helps increase both the structural order and the connectivity of the hydrogen bond network. Cooperativity originating from proton polarizability of H-bonds and/or from many-body terms of interaction potentials cannot be involved since we use a rigid water model and ab initio pair potentials. The present findings are interpreted as indicative of a moti…

ChemistryHydrogen bondGeneral Chemical EngineeringMonte Carlo methodAb initioCooperativityGeneral ChemistryCondensed Matter PhysicsChemical physicsComputational chemistryPolarizabilityModeling and SimulationWater modelDynamic Monte Carlo methodMoleculeGeneral Materials ScienceInformation SystemsMolecular Simulation
researchProduct

CLUSTER MONTE CARLO ALGORITHMS IN STATISTICAL MECHANICS

1992

The cluster Monte Carlo method, where variables are updated in groups, is very efficient at second order phase transitions. Much better results can be obtained with less computer time. This article reviews the method of Swendsen and Wang and some of its applications.

Computer scienceMonte Carlo methodGeneral Physics and AstronomyStatistical and Nonlinear PhysicsComputer Science ApplicationsHybrid Monte CarloComputational Theory and MathematicsDynamic Monte Carlo methodMonte Carlo integrationMonte Carlo method in statistical physicsStatistical physicsQuasi-Monte Carlo methodParallel temperingAlgorithmMathematical PhysicsMonte Carlo molecular modelingInternational Journal of Modern Physics C
researchProduct

Monte Carlo Simulations of Alloy Phase Transformations

1994

The use of Monte Carlo simulation methods for study of order-disorder phase transitions in lattice models of alloys is reviewed, with an emphasis on interfacial phenomena and the kinetics of ordering and/or phase separation. Topics discussed include the attempt to predict the phase diagram of Fe-Al alloys from recent measurements of effective interaction parameters, competition between magnetic and crystallographic ordering in such alloys, and the structure of their antiphase domain boundaries. Both an interfacial roughening transition of this domain wall and interfacial enrichment phenomena are predicted. Then simulations of alloy-vacuum surfaces are discussed, and it is shown that both ca…

Condensed Matter::Materials SciencePhase transitionMaterials scienceCondensed matter physicsSpinodal decompositionPhase (matter)Monte Carlo methodDynamic Monte Carlo methodMonte Carlo method in statistical physicsKinetic Monte CarloMonte Carlo molecular modeling
researchProduct

Efficiency of quantum Monte Carlo impurity solvers for dynamical mean-field theory

2007

Since the inception of the dynamical mean-field theory, numerous numerical studies have relied on the Hirsch-Fye quantum Monte Carlo (HF-QMC) method for solving the associated impurity problem. Recently developed continuous-time algorithms (CT-QMC) avoid the Trotter discretization error and allow for faster configuration updates, which makes them candidates for replacing HF-QMC. We demonstrate, however, that a state-of-the-art implementation of HF-QMC (with extrapolation of discretization delta_tau -> 0) is competitive with CT-QMC. A quantitative analysis of Trotter errors in HF-QMC estimates and of appropriate delta_tau values is included.

Condensed Matter::Quantum GasesPhysicsStrongly Correlated Electrons (cond-mat.str-el)DiscretizationQuantum Monte CarloExtrapolationFOS: Physical sciencesCondensed Matter PhysicsDiscretization errorElectronic Optical and Magnetic MaterialsCondensed Matter - Strongly Correlated ElectronsDynamical mean field theoryImpurityDynamic Monte Carlo methodCondensed Matter::Strongly Correlated ElectronsStrongly correlated materialStatistical physics
researchProduct

Simulation of Transport in Partially Miscible Binary Fluids: Combination of Semigrandcanonical Monte Carlo and Molecular Dynamics Methods

2004

Binary Fluids that exhibit a miscibility gap are ubiquitous in nature (glass melts, polymer solutions and blends, mixtures of molten metals, etc.) and exhibit a delicate interplay between static and dynamic properties. This is exemplified for a simple model system, the symmetrical AB Lennard-Jones mixture. It is shown how semigrandcanonical Monte Carlo methods, that include A→B (B→A) identity switches as Monte Carlo moves, can yield the phase diagram, the interfacial tension between coexisting phases, and various pair correlation functions and structure factors. In addition to the build-up of long-ranged concentration correlations near the critical point, unmixing is also accompanied by the…

Condensed Matter::Soft Condensed MatterBinodalMolecular dynamicsMaterials scienceCritical point (thermodynamics)Spinodal decompositionMonte Carlo methodDynamic Monte Carlo methodThermodynamicsStatistical physicsPhase diagramMonte Carlo molecular modeling
researchProduct

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)
researchProduct

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
researchProduct

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
researchProduct

Monte Carlo Simulation of Langmuir Monolayer Models

1998

We study a coarse grained, continuum model for Langmuir monolayers, i.e., monolayers of amphiphilic molecules on a polar substrate. The amphiphiles are represented by stiff chains of beads with one end grafted to a planar surface. Monte Carlo Simulations at constant pressure have been performed, using simulation boxes of variable size and variable shape. A number of techniques have been explored in order to obtain an efficient simulation algorithm. We discuss the resulting phase diagram, characterize the different phases, and analyze the conditions, under which they can be found.

Condensed Matter::Soft Condensed MatterLangmuirPlanarMaterials scienceMonte Carlo methodMonolayerDynamic Monte Carlo methodPolarSurface pressureMolecular physicsPhase diagram
researchProduct

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
researchProduct