Search results for "kinetic Monte Carlo"

showing 10 items of 51 documents

Ab initio modelling of the Y, O, and Ti solute interaction in fcc-Fe matrix

2018

Abstract Strengthening of the ODS steels by Y2O3 precipitates permits to increase their operation temperature and radiation resistance, which is important in construction materials for future fusion and advanced fission reactors. Both size and spatial distribution of oxide particles significantly affect mechanical properties and radiation resistance of ODS steels. Addition of the Ti species (present also as a natural impurity atoms in iron lattice) in the particles of Y2O3 powder before their mechanical alloying leads to the formation of YTiO3, Y2TiO5, and Y2Ti2O7 nanoparticles in ODS steels. Modelling of these nanoparticle formation needs detailed knowledge of the energetic interactions be…

010302 applied physicsNuclear and High Energy PhysicsMaterials scienceFissionAb initioOxideNanoparticleThermodynamics02 engineering and technology021001 nanoscience & nanotechnology01 natural sciences7. Clean energyIonchemistry.chemical_compoundchemistryImpurity0103 physical sciencesKinetic Monte Carlo0210 nano-technologyInstrumentationRadiation resistanceNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Effects of pressure, temperature and atomic exchanges on phase separation dynamics in Au/Ni(111) surface alloy: Kinetic Monte Carlo study

2015

Abstract Instability of the Au/Ni(111) surface alloy is studied in different CO gas pressure, p , and temperature limits using kinetic Monte Carlo simulations. We analyze the reaction front dynamics and formation of Au clusters using the model which takes into account surface adatom pair and three-body interactions, CO adsorption and desorption, catalytic carbonyl formation reaction, Au and Ni adatom diffusion and their concerted exchange. Variation of interaction parameters allows us to identify three possible reaction front propagation limits with different pressure dependencies: (i) slow channel-like flow in agreement with experimental data [1] (step flow rate, R , increases with p ), (i…

ChemistryMechanical EngineeringDiffusionAlloyMetals and AlloysAnalytical chemistryThermodynamicsengineering.materialInstabilityCatalysisVolumetric flow rateAdsorptionMechanics of MaterialsDesorptionMaterials ChemistryengineeringKinetic Monte CarloJournal of Alloys and Compounds
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Multiscale modelling of structure formation of C$_{60}$ on insulating CaF$_2$ substrates

2021

Morphologies of adsorbed molecular films are of interest in a wide range of applications. To study the epitaxial growth of these systems in computer simulations requires access to long time and length scales, and one typically resorts to kinetic Monte Carlo (KMC) simulations. However, KMC simulations require as input transition rates and their dependence on external parameters (such as temperature). Experimental data allow only limited and indirect access to these rates, and models are often oversimplified. Here, we follow a bottom-up approach and aim at systematically constructing all relevant rates for an example system that has shown interesting properties in experiments, buckminsterfull…

Condensed Matter - Materials ScienceStructure formationMaterials science010304 chemical physicsGeneral Physics and AstronomyMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesSubstrate (electronics)Computational Physics (physics.comp-ph)010402 general chemistry01 natural sciencesMultiscale modeling0104 chemical sciencesMolecular dynamicschemistry.chemical_compoundCondensed Matter::Materials ScienceBuckminsterfullerenechemistry0103 physical sciencesMolecular filmKinetic Monte CarloStatistical physicsPhysical and Theoretical ChemistryPhysics - Computational PhysicsFree parameter
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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
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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
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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
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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
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Isotropic–isotropic phase separation in mixtures of rods and spheres: Some aspects of Monte Carlo simulation in the grand canonical ensemble

2008

Abstract In this article we consider mixtures of non-adsorbing polymers and rod-like colloids in the isotropic phase, which upon the addition of polymers show an effective attraction via depletion forces. Above a certain concentration, the depletant causes phase separation of the mixture. We performed Monte Carlo simulations to estimate the phase boundaries of isotropic–isotropic coexistence. To determine the phase boundaries we simulated in the grand canonical ensemble using successive umbrella sampling [J. Chem. Phys. 120 (2004) 10925]. The location of the critical point was estimated by a finite size scaling analysis. In order to equilibrate the system efficiently, we used a cluster move…

Condensed Matter::Soft Condensed MatterPhysicsCanonical ensembleHybrid Monte CarloGrand canonical ensembleHardware and ArchitectureQuantum Monte CarloMonte Carlo methodDynamic Monte Carlo methodGeneral Physics and AstronomyKinetic Monte CarloStatistical physicsMonte Carlo molecular modelingComputer Physics 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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Modelling the carbon Snoek peak in ferrite: Coupling molecular dynamics and kinetic Monte-Carlo simulations

2008

Abstract Molecular statics, molecular dynamics and kinetic Monte-Carlo are used to model the carbon Snoek peak in ferrite. Using an interatomic EAM potential for the Fe–C system, saddle point energies for the diffusion of carbon have been evaluated under uniaxial stress by molecular statics. These energies have been reintroduced in a kinetic Monte-Carlo scheme to predict the repartition of carbon atoms in different octahedral sites. This repartition leads to an anelastic deformation calculated by molecular dynamics, which causes internal friction (the Snoek peak) for cyclic stress. This approach leads to quantitative predictions of the internal friction, which are in good agreement with exp…

General Computer ScienceMonte Carlo method[ SPI.MAT ] Engineering Sciences [physics]/MaterialsGeneral Physics and AstronomyThermodynamicsInteratomic potential02 engineering and technology[SPI.MAT] Engineering Sciences [physics]/MaterialsKinetic energy7. Clean energy01 natural sciences010305 fluids & plasmas[SPI.MAT]Engineering Sciences [physics]/MaterialsCondensed Matter::Materials ScienceMolecular dynamicsSaddle point0103 physical sciencesGeneral Materials ScienceKinetic Monte CarloComputingMilieux_MISCELLANEOUSEmbedded atom modelCondensed matter physicsChemistryGeneral Chemistry021001 nanoscience & nanotechnologyComputational MathematicsMechanics of MaterialsFerrite (magnet)0210 nano-technology
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