Search results for "Monte Carlo method."

showing 10 items of 1217 documents

Does Young's equation hold on the nanoscale? A Monte Carlo test for the binary Lennard-Jones fluid

2010

When a phase-separated binary ($A+B$) mixture is exposed to a wall, that preferentially attracts one of the components, interfaces between A-rich and B-rich domains in general meet the wall making a contact angle $\theta$. Young's equation describes this angle in terms of a balance between the $A-B$ interfacial tension $\gamma_{AB}$ and the surface tensions $\gamma_{wA}$, $\gamma_{wB}$ between, respectively, the $A$- and $B$-rich phases and the wall, $\gamma _{AB} \cos \theta =\gamma_{wA}-\gamma_{wB}$. By Monte Carlo simulations of bridges, formed by one of the components in a binary Lennard-Jones liquid, connecting the two walls of a nanoscopic slit pore, $\theta$ is estimated from the inc…

Surface (mathematics)PhysicsCondensed matter physicsStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodGeneral Physics and AstronomyThermodynamic integrationFOS: Physical sciencesComputational Physics (physics.comp-ph)Contact angleSurface tensionPhysics::Fluid DynamicsDistribution functionWetting transitionPhysics - Computational PhysicsScalingCondensed Matter - Statistical Mechanics
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Critical behavior of the surface-layer magnetization at the extraordinary transition in the three-dimensional Ising model.

1990

We have used a vectorized multispin-coding Monte Carlo method to determine the behavior of the surface-layer magnetization ${\mathit{m}}_{1}$ at the bulk transition in a simple-cubic Ising film with strongly enhanced surface coupling, i.e., at the extraordinary transition. In contrast to recent renormalization-group calculations we find no evidence for a discontinuous slope in the temperature dependence of ${\mathit{m}}_{1}$; the data are consistent with a free-energy-like (T-${\mathit{T}}_{\mathit{c}}$${)}^{2\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\alpha}}}$ behavior plus background terms.

Surface (mathematics)PhysicsStatistics::TheoryMagnetizationStatistics::ApplicationsCondensed matter physicsExchange interactionMonte Carlo methodIsing modelSurface layerCoupling (probability)Three dimensional modelPhysical review. B, Condensed matter
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Global Synchronization via Homogeneous Nucleation in Oscillating Surface Reactions

1999

The mechanism leading to globally synchronized oscillations in the $\mathrm{CO}+{\mathrm{O}}_{2}/\mathrm{Pt}\left(110\right)$ reaction system is investigated by means of Monte Carlo simulations. The model considers the reconstruction of the surface via phase border propagation and spontaneous phase nucleation. The reason for global oscillations turns out to be the spontaneous phase nucleation. This nucleation, which is modeled as a weak noise process, results in a random creation of dynamic defects and leads to global synchronization via stochastic resonance. The mechanism of global coupling via the gas phase, as it is proposed to date, does not occur.

Surface (mathematics)PhysicsSynchronization (alternating current)Stochastic resonanceQuantum mechanicsPhase (matter)Monte Carlo methodNucleationGeneral Physics and AstronomyCoupling (probability)Molecular physicsNoise (electronics)Physical Review Letters
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Polymer Brushes on Flat and Curved Substrates: Scaling Concepts and Computer Simulations

2007

The scaling concepts for isolated flexible macromolecules in good solvent grafted with one chain end to a flat surface (polymer mushrooms) as well as for layers of many overlapping end-grafted chain molecules (polymer brushes) are introduced. Monte Carlo attempts to test these concepts are briefly reviewed. Then the extension of these concepts to polymer brushes grafted to the interior of a cylinder surface is discussed. Molecular Dynamics results on chain average linear dimensions in the direction normal to the grafting surface and in axial direction are described, as well as distribution functions for the density of end monomers and of all monomers of the chains. It is argued that under t…

Surface (mathematics)Quantitative Biology::BiomoleculesMaterials sciencePolymers and PlasticsOrganic ChemistryMonte Carlo methodMechanicsConical surfaceCondensed Matter PhysicsPolymer brushCondensed Matter::Soft Condensed MatterMolecular dynamicsChain (algebraic topology)Materials ChemistryCylinderScalingMacromolecular Symposia
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Dynamics of multilayer adsorption: a Monte Carlo simulation

1992

Abstract The growth of an adsorbed film at an initially empty surface which is exposed at time t = 0 to a gas is studied within the framework of a kinetic lattice gas model by Monte Carlo simulation. The model includes an attractive potential V ( z ) between adsorbed particles at distance z from the surface, V(z) = −A z 3 and a nearest-neighbor attractive interaction between the gas atoms. Several choices of the surface potential depth A , corresponding to different sequence of layering transitions, are considered. The Monte Carlo process assumes random evaporation/condensation events of gas atoms in adsorbed layers close to the surface, while surface diffusion is disregarded. For temperatu…

Surface diffusionChemistryMonte Carlo methodThermodynamicsSurfaces and InterfacesCondensed Matter PhysicsKinetic energySurfaces Coatings and Filmssymbols.namesakeGibbs isothermAdsorptionMetastabilityMaterials ChemistrysymbolsPhysical chemistryWettingPhase diagramSurface Science
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Comment on “Surface diffusion near the points corresponding to continuous phase transitions” [J. Chem. Phys. 109, 3197 (1998)]

1999

It is well known that unlike static equilibrium properties, kinetic quantities in Monte Carlo simulations are very sensitive to the details of the algorithm used for the microscopic transition rates. This is particularly true near the critical region where fluctuations are pronounced. We demonstrate that when diffusion of oxygen adatoms near the order–disorder transition of a lattice-gas model of the O/W(110) model system is studied, the transition rates must be chosen carefully. In particular, we show that the choice by Uebing and Zhdanov [J. Chem. Phys. 109, 3197 (1998)] is inappropriate for the study of critical effects in diffusion.

Surface diffusionMechanical equilibriumContinuous phase modulationCondensed matter physicsW(110)ChemistryMonte Carlo methodGeneral Physics and AstronomyThermodynamicsBoundary (topology)ComputingMilieux_LEGALASPECTSOFCOMPUTINGKinetic energyNON-ARRHENIUS BEHAVIOROXYGENlaw.inventionMODELBOUNDARYlawPhysical and Theoretical ChemistryDiffusion (business)Phase diagramThe Journal of Chemical Physics
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Reply to "comment on 'Monte Carlo simulations for a Lotka-type model with reactant surface diffusion and interactions' ".

2002

As is well known, a wide class of physical problems, including the kinetics of heterogeneous catalytic reactions, is traditionally described in terms of the master equations ~ME!. The definition of ME allows us not only to perform Monte Carlo ~MC! simulations, but also to develop at the same time appropriate analytical methods @mean field~MF!, cluster approximations, etc. #@ 1#. ME is formally defined when all possible states of a system and the transition rates between these states are specified. This is enough to define only the transition rates K(i! j ) for such elementary processes as particle adsorption, desorption, diffusion, reaction, etc., from the initial state i to the final state…

Surface diffusionMonte Carlo methodMaster equationCluster (physics)State (functional analysis)Statistical physicsType (model theory)Diffusion (business)Random walkMathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Monte Carlo Calculations on Phase Transitions in Adsorbed Layers

2007

Surface diffusionPhase transitionMaterials scienceAdsorptionTransition metalCondensed matter physicschemistryHydrogenMonte Carlo methodchemistry.chemical_elementMolecular physicsPhase diagramPalladium
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Monte Carlo studies of anisotropic surface tension and interfacial roughening in the three-dimensional Ising model.

1989

Extensive Monte Carlo simulations of the simple cubic Ising model with nearest-neighbor ferromagnetic interactions with a tilted interface are presented for a wide range of lattice size L, temperature T, and tilt angles \ensuremath{\theta}. The anisotropic interfacial tension is studied in detail. From the small-angle data, we obtain the step free energy density ${f}_{S}$(T,L). Finite-size scaling of the step free energy density is discussed and used to probe the predicted temperature dependence of the correlation length near and above the roughening transition. The square-root temperature dependence predicted by solid-on-solid model calculations is exhibited. Finite-size scaling implies th…

Surface tensionPhysicssymbols.namesakeCapillary waveCondensed matter physicsMonte Carlo methodsymbolsLattice (group)Ising modelCubic crystal systemHamiltonian (quantum mechanics)ScalingPhysical review. B, Condensed matter
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Two-particle azimuthal correlations in photonuclear ultraperipheral Pb+Pb collisions at 5.02 TeV with ATLAS

2021

We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina, YerPhI, Armenia, ARC, Australia, BMWFW and FWF, Austria, ANAS, Azerbaijan, SSTC, Belarus, CNPq and FAPESP, Brazil, NSERC, NRC, and CFI, Canada, CERN and ANID, Chile, CAS, MOST, and NSFC, China, COLCIENCIAS, Colombia, MSMT CR, MPO CR, and VSC CR, Czech Republic, DNRF and DNSRC, Denmark, IN2P3-CNRS and CEA-DRF/IRFU, France, SRNSFG, Georgia, BMBF, HGF, and MPG, Germany, GSRT, Greece, RGC and Hong Kong SAR, China, ISF and Benoziyo Center, Israel, INFN, Italy, MEXT and JSPS, Japan, CNR…

Systemgap [rapidity]heavy ion: scattering:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Performanceangular correlation: long-rangeHadronMonte Carlo method01 natural sciencesHigh Energy Physics - ExperimentSubatomär fysikHigh Energy Physics - Experiment (hep-ex)PpCollisionscorrelation function: two-particleSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)Nuclear ExperimentNuclear Experimentcalorimeter: forward spectrometerSettore FIS/01Physicsangular correlation: two-particletwo-particle [correlation function]Large Hadron Collider4. EducationATLAS experimentHeavy-Ion CollisionsMonte Carlo [numerical calculations]ATLASCalorimeterforward spectrometer [calorimeter]CERN LHC Coll:Nuclear and elementary particle physics: 431 [VDP]medicine.anatomical_structureMultiplicityflowPseudorapidityDistributionsLhcnumerical calculations: Monte CarloParticle Physics - Experimentcharged particle: tracks530 PhysicscollectiveFOS: Physical sciencesLHC ATLAS High Energy Physicstransverse momentum[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]Relativistic heavy ionscharged particle: multiplicityNuclear physicsmultiplicity [charged particle]scattering [heavy ion]Atlas (anatomy)long-range [angular correlation]0103 physical sciencesmedicineFluctuationsNuclear Physics - Experimentddc:5305020 GeV-cms/nucleonHigh Energy Physicsperipheral010306 general physicshadron hadron: interactioninteraction [hadron hadron]LHC; Particle Physics; Photonuclear interactionstwo-particle [angular correlation]tracks [charged particle]010308 nuclear & particles physicsFísicaDetectorMultiplicity (mathematics)boundary conditionrapidity: gapcorrelationExperimental High Energy Physicsexperimental resultsModelPhysical Review C
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