Search results for "Method"

showing 10 items of 13253 documents

How Do Droplets Depend on the System Size? Droplet Condensation and Nucleation in Small Simulation Cells

2003

Using large scale grandcanonical Monte Carlo simulations in junction with a multicanonical reweighting scheme we investigate the liquid-vapor transition of a Lennard—Jones fluid. Particular attention is focused on the free energy of droplets and the transition between different system configurations as the system tunnels between the vapor and the liquid state as a function of system size. The results highlight the finite size dependence of droplet properties in the canonical ensemble and free energy barriers along the path from the vapor to the liquid in the grandcanonical ensemble.

Condensed Matter::Soft Condensed MatterPhysics::Fluid DynamicsCanonical ensembleLiquid stateMaterials scienceScale (ratio)Monte Carlo methodCondensationNucleationMechanicsSize dependence
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How do droplets on a surface depend on the system size?

2002

Abstract We investigate the thermodynamics of inhomogeneous polymer melts in the framework of a coarse grained off-lattice model. Properties of the liquid–vapour interface and the packing of the melt in contact with an attractive wall are considered. We employ Monte Carlo simulations in the grand canonical ensemble to determine excess free energies, the wetting temperature and the pre-wetting line, as well as the pre-wetting critical point. Having determined the wetting properties and the phase diagram of the model polymer, we perform canonical Monte Carlo simulations of small droplets on a surface. This allows us to study the dependence of droplet size on the wetting properties. It is foun…

Condensed Matter::Soft Condensed MatterPhysics::Fluid DynamicsContact angleSurface tensionGrand canonical ensembleColloid and Surface ChemistryWetting transitionChemistryCritical point (thermodynamics)Monte Carlo methodThermodynamicsWettingPhase diagram
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Simulation of Models for Isotropic and Anisotropic Orientational Glasses

1992

“Orientational glass” behavior is found when molecular crystals are randomly diluted, and quadrupole moments get frozen by random alignment of the molecules, similar to “spin glass” behavior of randomly diluted magnets. Monte Carlo simulation of lattice models where quadrupole moments interact with nearest neighbor Gaussian coupling is a unique tool to study this behavior. The time-dependent glass order parameter exhibits anomalously slow relaxation, compatible with the Kohlrausch-Williams-Watts (KWW) stretched exponential function. Both isotropic and anisotropic models exhibit in d=2 and d=3 spatial dimensions glass transitions at zero temperature only. While the glass correlation length a…

Condensed Matter::Soft Condensed MatterStretched exponential functionSpin glassMaterials scienceCondensed matter physicsIsotropyMonte Carlo methodQuadrupoleAnisotropyCondensed Matter::Disordered Systems and Neural NetworksPower lawOrientational glass
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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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Recent advances in the development of holey optical fibers based on sulfide glasses

2006

International audience; Microstructured optical fibers as new optical objects have been developed in the recent past years, firstly from silica glass and then from other oxide glasses such as tellurite or different heavy cations oxide glasses. However very few results have been reported concerning non-oxide glasses and more particularly chalcogenide glasses. In a photonic crystal fiber the arrangement of air holes along the transverse section of the fiber around a solid glassy core leads to unique optical properties, such as for example broadband single-mode guidance, adjustable dispersion, nonlinear properties. Since the effective modal area is adjustable thanks to geometrical parameters, …

Condensed Matter::Soft Condensed Matterchalcogenidesulfideoptical fibersmicrostructured fibersphotonic crystal fibersglasses CHALCOGENIDE GLASSESTELECOMMUNICATIONSPhysics::OpticsMULTIPOLE METHODholey fibersCondensed Matter::Disordered Systems and Neural Networks
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Solubility of Polymers

2011

Detailed knowledge concerning the phase state (homogeneous or coexistence of two or more condensed phases) of polymer containing mixtures is indispensible in virtually any area related to the production or application of macromolecules. In addition to this qualitative information it is for many purposes highly desirable to dispose of quantitative data regarding solvent quality or, more generally, with respect to the thermodynamic interaction between the components of the mixtures. This contribution starts with a brief presentation of the thermodynamic criteria deciding on the phase state and presents the experimental methods used in this area. The next section gives an overview on typical b…

Condensed Matter::Soft Condensed Matterchemistry.chemical_classificationQuantitative Biology::BiomoleculesHildebrand solubility parameterMaterials sciencechemistryPhase stateHomogeneousThermodynamicsPolymerPolymer blendSolubilityExperimental methods
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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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Ab initio calculations of PbTiO 3 /SrTiO 3 (001) heterostructures

2016

We performed ab initio calculations for the PbTiO3/SrTiO3 (001) heterostructures. For both PbO and TiO2-terminations of the PbTiO3 (001) thin film, augmented on the SrTiO3 (001) substrate, the magnitudes of atomic relaxations Δz increases as a function of the number of augmented monolayers. For both terminations of the augmented PbTiO3 (001) nanothin film, all upper, third and fifth monolayers are displaced inwards (Δz is negative), whereas all second, fourth and sixth monolayers are displaced outwards (Δz is positive). The B3PW calculated PbTiO3/SrTiO3 (001) heterostructure band gaps, independently from the number of augmented layers, are always smaller than the PbTiO3 and SrTiO3 bulk band…

Condensed matter physicsChemistryBand gapHeterojunction02 engineering and technologySubstrate (electronics)021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesAb initio quantum chemistry methods0103 physical sciencesMonolayerThin film010306 general physics0210 nano-technologyphysica status solidi c
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Ab initio electronic band structure calculation of InP in the wurtzite phase

2011

Abstract We present ab initio calculations of the InP band structure in the wurtzite phase and compare it with that of the zincblende phase. In both calculations, we use the full potential linearized augmented plane wave method as implemented in the WIEN2k code and the modified Becke-Johnson exchange potential, which provides an improved value of the bandgap. The structural optimization of the wurtizte InP gives a = 0.4150 nm , c = 0.6912 nm , and an internal parameter u = 0.371 , showing the existence of a spontaneous polarization along the growth axis. As compared to the ideal wurtzite structure (that with the lattice parameter derived from the zincblende structure calculations), the actu…

Condensed matter physicsChemistryBand gapPlane waveAb initioGeneral ChemistryElectronic structureCondensed Matter::Mesoscopic Systems and Quantum Hall EffectCondensed Matter PhysicsWIEN2kCondensed Matter::Materials ScienceAb initio quantum chemistry methodsMaterials ChemistryElectronic band structureWurtzite crystal structureSolid State Communications
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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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