Search results for "Monte Carlo method."

showing 10 items of 1217 documents

Study of the e<sup>+</sup> Distribution in a Layered Stack Sample Using Positron Lifetime Spectroscopy

2010

The results of the Monte Carlo (MC) simulations, using GEANT4 codes, indicate the enhancement of the fraction of the e+ in the denser regions of the sample embedded by the less dense environment. The positron lifetime measurements, performed for two stacks of layers consisting of pure aluminum and silver do not seem to reveal this effect. Some features of the e+ distribution detected in the experiments are not reproduced by the MC simulations.

Materials scienceMechanical EngineeringPositron Lifetime SpectroscopyMonte Carlo methodAnalytical chemistrychemistry.chemical_elementCondensed Matter PhysicsSample (graphics)Molecular physicsDistribution (mathematics)PositronchemistryStack (abstract data type)Mechanics of MaterialsAluminiumGeneral Materials ScienceMaterials Science Forum
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Atomistic modeling of materials properties by Monte Carlo Simulation

1992

In order to optimize materials properties, in many cases a deeper understanding of the relationship between the chemical-atomistic structure and the physical properties of the solid and fluid phases of the material is necessary. Monte Carlo simulation is a tool that allows the reliable calculation of thermodynamic properties of strongly interacting many-body condensed matter systems. Given a model of effective interatomic or intermolecular interactions (drawn either from quantum-chemical-type interactions or from analysis of suitable experimental data), macroscopic bulk properties of a material can be simulated, as well as interfacial phenomena and certain kinds of slow dynamic processes (o…

Materials scienceMechanics of MaterialsMagnetismMechanical EngineeringMonte Carlo methodIntermolecular forceExperimental dataGeneral Materials ScienceStatistical mechanicsStatistical physicsAmorphous solidAdvanced Materials
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Laser beam scattering effects in non-absorbent inhomogenous polymers

2007

Ilie, Mariana Kneip, Jean-Christophe Mattei, Simone Nichici, Alexandru Roze, Claude Girasole, Thierry; In this paper a numerical model for laser beam scattering in the semi-transparent polymers is presented, using a Monte Carlo algorithm and the Mie theory. The algorithm correctly accounts for the independent multiply-scattered light. We describe the algorithm, present a number of important parameters that account in the welding process, and explicitly show how the algorithm can be used to estimate the laser beam intensity both inside the semi-transparent component and at the welding interface and the beam widening. For the model validation an experimental bench test has been realized and s…

Materials scienceMonte Carlo method02 engineering and technologyWelding01 natural sciencesBeam parameter productlaw.invention010309 opticsOpticslaw0103 physical sciencesElectrical and Electronic EngineeringMonte Carlo algorithmbusiness.industryMechanical EngineeringLaser beam welding021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materials[SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicPhysics::Accelerator PhysicsM squaredLaser beam quality0210 nano-technologybusiness0143-8166Beam (structure)
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Crystallization in suspensions of hard spheres: a Monte Carlo and molecular dynamics simulation study

2011

The crystallization of a metastable melt is one of the most important non-equilibrium phenomena in condensed matter physics, and hard sphere colloidal model systems have been used for several decades to investigate this process by experimental observation and computer simulation. Nevertheless, there is still an unexplained discrepancy between the simulation data and experimental nucleation rate densities. In this paper we examine the nucleation process in hard spheres using molecular dynamics and Monte Carlo simulation. We show that the crystallization process is mediated by precursors of low orientational bond-order and that our simulation data fairly match the experimental data sets.

Materials scienceMonte Carlo method: Physics [G04] [Physical chemical mathematical & earth Sciences]NucleationFOS: Physical sciencesMolecular Dynamics SimulationCondensed Matter - Soft Condensed Matterlaw.inventionMolecular dynamicsSuspensionslawMetastabilityComputer SimulationGeneral Materials ScienceParticle SizeCrystallizationCondensed Matter - Statistical MechanicsStatistical Mechanics (cond-mat.stat-mech)Hard spheresCondensed Matter Physics: Physique [G04] [Physique chimie mathématiques & sciences de la terre]Chemical physicsScientific methodSoft Condensed Matter (cond-mat.soft)ThermodynamicsSPHERESCrystallizationMonte Carlo MethodJournal of Physics: Condensed Matter
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Hard sphere fluids at a soft repulsive wall: A comparative study using Monte Carlo and density functional methods

2011

Hard-sphere fluids confined between parallel plates at a distance D apart are studied for a wide range of packing fractions including also the onset of crystallization, applying Monte Carlo simulation techniques and density functional theory. The walls repel the hard spheres (of diameter σ) with a Weeks-Chandler-Andersen (WCA) potential V(WCA)(z) = 4ε[(σ(w)/z)(12) - (σ(w)/z)(6) + 1/4], with range σ(w) = σ/2. We vary the strength ε over a wide range and the case of simple hard walls is also treated for comparison. By the variation of ε one can change both the surface excess packing fraction and the wall-fluid (γ(wf)) and wall-crystal (γ(wc)) surface free energies. Several different methods t…

Materials scienceMonte Carlo methodGeneral Physics and AstronomyHard spheresAtomic packing factorMolecular physicsSurface energylaw.inventionSurface tensionCrystallawDensity functional theoryPhysical and Theoretical ChemistryCrystallizationThe Journal of Chemical Physics
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Grafted polymer layers under shear: A Monte Carlo simulation

1993

Endgrafted polymers at surfaces exposed to a shear flow are modeled by a nonequilibrium Monte Carlo method where the jump rate of effective monomers to neighboring lattice sites against the flow direction is smaller than in the flow direction, assuming that this difference in jump rates is proportional to the local velocity of the flowing fluid. In the dilute case of isolated chains, the velocity profile is assumed linearly increasing with the distance from the surface, while for the case of polymer brushes the screening of the velocity field is calculated using a parabolic density profile for the brush whose height is determined self‐consistently. Linear dimensions of isolated chains are o…

Materials scienceMonte Carlo methodGeneral Physics and AstronomyNon-equilibrium thermodynamicsFlory–Huggins solution theoryMolecular physicsPhysics::Fluid DynamicsCondensed Matter::Soft Condensed MatterClassical mechanicsShear (geology)PerpendicularVector fieldShear velocityPhysical and Theoretical ChemistryShear flowThe Journal of Chemical Physics
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Two-Dimensional Melting Approached via Finite-Size Scaling of Bond-Orientational Order

1994

Relying on Monte Carlo simulations, we investigate the hard-disk melting transition. The finite-size scaled values of the bond-orientational order parameter moments are obtained with the block analysis technique. The behaviour of Binder's cumulant and the susceptibility favour an interpretation in terms of a first-order transition.

Materials scienceMonte Carlo methodGeneral Physics and AstronomyOrder (group theory)Statistical physicsBlock (periodic table)CumulantScalingInterpretation (model theory)Europhysics Letters (EPL)
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Monte Carlo Simulation of Crystal-Liquid Phase Coexistence

2016

When a crystal nucleus is surrounded by coexisting fluid in a finite volume in thermal equilibrium, the thermodynamic properties of the fluid (density, pressure, chemical potential) are uniquely related to the surface excess free energy of the nucleus. Using a model for weakly attractive soft colloidal particles, it is shown that this surface excess free energy can be determined accurately from Monte Carlo simulations over a wide range of nucleus volumes, and the resulting nucleation barriers are completely independent from the size of the total volume of the system. A necessary ingredient of the analysis, the pressure at phase coexistence in the thermodynamic limit, is obtained from the in…

Materials scienceMonte Carlo methodNucleation01 natural sciencesMolecular physics010305 fluids & plasmasHybrid Monte Carlo0103 physical sciencesThermodynamic limitDynamic Monte Carlo methodClassical nucleation theoryKinetic Monte Carlo010306 general physicsMonte Carlo molecular modeling
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An exploration of corrosion inhibition of mild steel in sulphuric acid solution through experimental study and Monte Carlo simulations

2019

Abstract4-[4-(1H-imidazol-1-yl)methyl)-1H-1,2,3-triazol-1-yl]methylbenzophenone (ITBP) and 4[4-(1H-1,2,4-triazol-1-yl)methyl)-1H-1,2,3-triazol-1-yl]methylbenzophenone (TTBP) are synthesized as new ...

Materials scienceMonte Carlo methodTriazole030206 dentistry02 engineering and technologySurfaces and InterfacesGeneral Chemistry021001 nanoscience & nanotechnologySurfaces Coatings and FilmsCorrosion03 medical and health scienceschemistry.chemical_compound0302 clinical medicinechemistryMechanics of MaterialsMaterials ChemistryPhysical chemistry0210 nano-technologyJournal of Adhesion Science and Technology
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3D multispectral light propagation model for subcutaneous veins imaging

2008

In this paper, we describe a new 3D light propagation model aimed at understanding the effects of various physiological properties on subcutaneous vein imaging. In particular, we build upon the well known MCML (Monte Carlo Multi Layer) code and present a tissue model that improves upon the current state-of-the-art by: incorporating physiological variation, such as melanin concentration, fat content, and layer thickness; including veins of varying depth and diameter; using curved surfaces from real arm shapes; and modeling the vessel wall interface. We describe our model, present results from the Monte Carlo modeling, and compare these results with those obtained with other Monte Carlo metho…

Materials scienceOpticsLight propagationFat contentbusiness.industryQuantitative Biology::Tissues and OrgansTissue ModelMonte Carlo methodMultispectral imageVisible radiationbusinessLayer thicknessMulti layerSPIE Proceedings
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