Search results for "monte carlo"

showing 10 items of 1587 documents

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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Computer Simulations and Coarse-Grained Molecular Models Predicting the Equation of State of Polymer Solutions

2010

Monte Carlo and molecular dynamics simulations are, in principle, powerful tools for carrying out the basic task of statistical thermodynamics, namely the prediction of macroscopic properties of matter from suitable models of effective interactions between atoms and molecules. The state of the art of this approach is reviewed, with an emphasis on solutions of rather short polymer chains (such as alkanes) in various solvents. Several methods of constructing coarse-grained models of the simple bead–spring type will be mentioned, using input either from atomistic models (considering polybutadiene as an example) or from experiment. Also, the need to have corresponding coarse-grained models of t…

Condensed Matter::Soft Condensed Matterchemistry.chemical_classificationQuantitative Biology::BiomoleculesPhase transitionMolecular dynamicsEquation of statechemistryMonte Carlo methodAtoms in moleculesPolymerStatistical physicsGranularityLattice model (physics)
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Adatom Island Diffusion on Metal Fcc(100) Surfaces

2001

We study the energetics and atomic mechanisms of diffusion of adatom islands on fcc(100) metal surfaces. For small islands, we perform detailed microscopic calculations using semi-empirical embedded-atom model and glue potentials in the case of Cu and Al, respectively. Combining systematic saddle-point search methods and molecular statics simulations allows us to find all the relevant transition paths for island motion. In particular, we demonstrate that there are novel many-body mechanisms such as internal row shearing which can, in some cases, control the island dynamics. Next, we show how using the master equation formalism, diffusion coefficients for small islands up to about five atoms…

Condensed matter physicsChemistryMonte Carlo methodCrossoverEnergeticsMolecular statics02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesMetalvisual_art0103 physical sciencesMaster equationvisual_art.visual_art_mediumKinetic Monte Carlo010306 general physics0210 nano-technologySaddle
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Competition between submonolayer ordering and multilayer adsorption: Studies of simple lattice gas models

1986

Abstract We model condensation of adatoms at a substrate surface by a semi-infinite simple cubic lattice gas system. While in the bulk there is just a nearest-neighbour attractive interaction, in the first layer adjacent to the surface we allow for a periodic potential due to the substrate with a period of two lattice spacings, or for a next-nearest-neighbour repulsive interaction mediated by the substrate. Hence order-disorder phenomena may occur in the first layer, while only gas-liquid condensation transitions can occur in layers further away from the substrate surface. The ground-state phase diagrams of this model are obtained exactly, while the behaviour at nonzero temperatures is obta…

Condensed matter physicsChemistryMonte Carlo methodSubstrate surfaceSimple cubic latticeSurfaces and InterfacesCondensed Matter PhysicsPeriodic potentialSurfaces Coatings and FilmsAdsorptionLattice (order)MonolayerMaterials ChemistryPhase diagramSurface Science Letters
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Incommensurate phases in adsorbed monolayers: structure and energy of domain walls

2002

Abstract The properties of incommensurate films of domain-wall structure formed on the (1 0 0) plane of face centered cubic crystals are studied by Monte Carlo simulation. The wall energies, wall structure and the wall–wall interaction are determined for different types of domain walls occurring in films which form the c(2×2) registered structure. The systems characterized by different strength and corrugation of the surface potential and of different misfit between adsorbate and adsorbent are discussed. It is demonstrated that heavy as well as light walls are rather strongly localized. Moreover, it is shown that the incommensurate structure with crossing heavy walls has higher stability th…

Condensed matter physicsChemistryPlane (geometry)Monte Carlo methodSurfaces and InterfacesCubic crystal systemCondensed Matter PhysicsEpitaxySurfaces Coatings and FilmsPhysics::Fluid DynamicsAdsorptionPhysisorptionPhase (matter)MonolayerMaterials ChemistrySurface Science
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Monte Carlo study of cluster-diameter distribution: An observable to estimate correlation lengths

1997

We report numerical simulations of two-dimensional $q$-state Potts models with emphasis on a new quantity for the computation of spatial correlation lengths. This quantity is the cluster-diameter distribution function $G_{diam}(x)$, which measures the distribution of the diameter of stochastically defined cluster. Theoretically it is predicted to fall off exponentially for large diameter $x$, $G_{diam} \propto \exp(-x/\xi)$, where $\xi$ is the correlation length as usually defined through the large-distance behavior of two-point correlation functions. The results of our extensive Monte Carlo study in the disordered phase of the models with $q=10$, 15, and $20$ on large square lattices of si…

Condensed matter physicsHigh Energy Physics - Lattice (hep-lat)Monte Carlo methodFOS: Physical sciencesObservableSquare (algebra)Coherence lengthHigh Energy Physics - LatticeDistribution (mathematics)Distribution functionTransition pointLattice gauge theoryAtomic physicsMathematicsPhysical Review E
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Quantum Monte Carlo study of insulating state in NaV2O5

2003

Abstract Quantum Monte Carlo (QMC) methods are being increasingly used as complements to Hartree–Fock (HF) methods for computing the electronic structure of molecules and materials. We investigate the nature of the insulating state driven by electronic correlations in the ladder compound NaV 2 O 5 ; considered as a quarter-filled system. We use an extended Hubbard model (EHM) to study the role of on-site and inter-site Coulomb interaction. It is found that the insulating state in the charge-disordered phase of this compound take origin from the transfer of spectral density and dynamical fluctuations. Our calculation allows us also, to understand the origin of the insulating states above T C…

Condensed matter physicsHubbard modelChemistryMechanical EngineeringQuantum Monte CarloMonte Carlo methodMetals and AlloysSpectral densityGeneral MedicineState (functional analysis)Electronic structureMechanics of MaterialsPhase (matter)Materials ChemistryCoulombMoleculeCondensed Matter::Strongly Correlated ElectronsMetal–insulator transitionElectronic band structureJournal of Alloys and Compounds
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Monte Carlo Study of Dense Monolayer and Bilayer Films on the (100) Plane of Face-Centered Cubic Crystals

1999

A Monte Carlo simulation method in the canonical and in the grand canonical ensembles is used to study the behavior and properties of dense monolayer and bilayer films formed on the (100) plane of model face-centered cubic crystals. Systems with different effects due to the periodicity of the gas−solid potential are considered, and the mechanism of melting in the first and the second adsorbed layer is discussed. It is demonstrated that the film structure is very sensitive to the gas−solid potential corrugation, as well as to the temperature and the surface coverage. In particular, it is shown that monolayer films formed on weakly corrugated surfaces exhibit the incommensurate (dense) phase …

Condensed matter physicsPlane (geometry)ChemistryBilayerTransition temperatureMonte Carlo methodSurfaces and InterfacesCubic crystal systemCondensed Matter PhysicsPhase (matter)MonolayerElectrochemistryGeneral Materials ScienceSpectroscopyPhase diagramLangmuir
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Lattice gas models for multilayer adsorption: variation of phase diagrams with the strength of the substrate potential

1990

Abstract The simple cubic lattice gas model with nearest-neighbor attractive interaction is considered for the case where the potential V ( z ), that an adatom at a distance z from the surface experiences due to the substrate, is V ( z ) = − A / z 3 . Exact ground state phase diagrams are obtained for different A , while the behavior at nonzero temperatures is studied both by Monte Carlo simulations and the molecular field approximation. We show that the detailed sequence of the layering transitions in the first few layers depends very strongly on the strength of the substrate potential: for strong potentials individual first-order layering transitions in layers 1, 2, 3, …, while for interm…

Condensed matter physicsTriple pointChemistryMonte Carlo methodThermodynamicsSimple cubic latticeSurfaces and InterfacesCondensed Matter PhysicsSurfaces Coatings and FilmsAdsorptionLattice (order)Materials ChemistryLayeringGround statePhase diagramSurface Science
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Flexible Estimation of Heteroskedastic Stochastic Frontier Models via Two-step Iterative Nonlinear Least Squares

2019

Despite its importance, the monotonicity condition is typically overlooked in stochastic frontier analysis. This article illustrates a straightforward and useful method for the estimation of semiparametric stochastic frontier models imposing such constraint and incorporating exogenous inefficiency effects exploiting the scaling property. An iterative estimation algorithm based on nonlinear least squares is developed and the behavior of the proposed procedure is investigated through a set of Monte Carlo experiments comparing its finite sample properties with those of available alternatives. The simulation results highlight very good performance of the new algorithm which outperforms the comp…

Constraint (information theory)HeteroscedasticityStochastic frontier analysisComputer scienceNon-linear least squaresMonte Carlo methodApplied mathematicsFraction (mathematics)Monotonic functionSample (statistics)SSRN Electronic Journal
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