Search results for "kinetic Monte Carlo"

showing 10 items of 51 documents

Reliable signal processing using parallel arrays of non-identical nanostructures and stochastic resonance

2010

In the stochastic resonance (SR) phenomena, the response of a non-linear system to a weak periodic input signal is optimised by the presence of a particular level of noise which enhances signal detection. We explore, theoretically, the influence of thermal noise in arrays of metal nanoparticles functionalised with organic ligands acting as tunnelling junctions, with emphasis on the interplay between the SR phenomena and the nanostructure variability. In this system, the transference of a reduced number of electrons may suffice to implement a variety of electronic functions. However, because nanostructures are expected to show a significant variability in their physical characteristics, it i…

Signal processingStochastic resonanceChemistryQuantum mechanicsEmphasis (telecommunications)Coulomb blockadeThermal fluctuationsGeneral Materials ScienceKinetic Monte CarloCondensed Matter::Mesoscopic Systems and Quantum Hall EffectNoise (electronics)SignalComputational physicsNanoscale
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Sub-threshold signal processing in arrays of non-identical nanostructures

2011

Weak input signals are routinely processed by molecular-scaled biological networks composed of non-identical units that operate correctly in a noisy environment. In order to show that artificial nanostructures can mimic this behavior, we explore theoretically noise-assisted signal processing in arrays of metallic nanoparticles functionalized with organic ligands that act as tunneling junctions connecting the nanoparticle to the external electrodes. The electronic transfer through the nanostructure is based on the Coulomb blockade and tunneling effects. Because of the fabrication uncertainties, these nanostructures are expected to show a high variability in their physical characteristics and…

Statistical ensembleSignal processingMaterials scienceMechanical EngineeringThermal fluctuationsCoulomb blockadeSignal Processing Computer-AssistedBioengineeringNanotechnologyElectrochemical TechniquesEquipment DesignGeneral ChemistryNanostructuresModels ChemicalMechanics of MaterialsNanotechnologyGeneral Materials ScienceKinetic Monte CarloElectrical and Electronic EngineeringBiological systemElectrodesParallel arrayElectronic circuitVoltageNanotechnology
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Cluster Monte Carlo algorithms

1990

Abstract The Swendsen-Wang and Wolff Monte Carlo algorithms are described in some detail, using the Potts model as an example. Various generalizations are then reviewed and some applications are discussed. Two complete Fortran programs for the algorithms are provided.

Statistics and ProbabilityHigh Energy Physics::LatticeMonte Carlo methodCondensed Matter PhysicsHybrid Monte CarloCondensed Matter::Statistical MechanicsDynamic Monte Carlo methodMonte Carlo integrationMonte Carlo method in statistical physicsQuasi-Monte Carlo methodKinetic Monte CarloStatistical physicsAlgorithmMathematicsMonte Carlo molecular modelingPhysica A: Statistical Mechanics and its Applications
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Simulation of Reaction-Induced Phase Separation in Surface Alloy

2008

Using kinetic Monte Carlo method we simulate the dynamics of biatomic Au0.3Ni0.7 surface alloy separation on Ni(111) due to Ni(CO)4 out-reaction. The experiment of Vestergaard et al. is modeled by counterbalancing dynamical processes and interactions between reactants. The simulations demonstrate step flow rate increase with CO coverage, cCO, in qualitative agreement with the experiment only for cCO <∼ 0.45 monolayer. Moreover, we demonstrate both CO influence on reaction process and Au domain formation.

Surface (mathematics)Materials scienceMonolayerAlloyengineeringGeneral Physics and AstronomyThermodynamicsKinetic Monte Carloengineering.materialVolumetric flow rateDomain formationActa Physica Polonica A
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Totally asymmetric exclusion process fed by using a non-Poissonian clock

2015

In this article we consider the one-dimensional totally asymmetric open-boundary exclusion process fed by a process with power-law-distributed waiting times. More specifically, we use a modified Pareto distribution to define the jump rate for jumps into the system. We then characterize the propagation of fluctuations through the system by kinetic Monte Carlo simulations and by numerical evaluation of the steady-state partition function. peerReviewed

Waiting timePartition function (quantum field theory)ta114Stochastic processProcess (computing)non-Poissonian clockJump ratesymbols.namesakesymbolsasymmetric exclusion processStatistical physicsKinetic Monte CarloPareto distributionfysiikkaphysicsMathematicsPhysical Review E
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Multi-scale simulations of polymeric nanoparticle aggregation during rapid solvent exchange.

2018

Using a multi-scale approach which combines both molecular dynamics (MD) and kinetic Monte Carlo (KMC) simulations, we study a simple and scalable method for fabricating charge-stabilized nanoparticles through a rapid solvent exchange, i.e., Flash NanoPrecipitation (FNP). This multi-scale approach is based on microscopic information from MD simulations and uses a KMC algorithm to access macroscopic length- and time scales, which allows direct comparison with experiments and quantitative predictions. We find good agreement of our simulation results with the experiments. In addition, the model allows us to understand the aggregation mechanism on both microscopic and macroscopic levels and det…

chemistry.chemical_classificationMaterials scienceMonte Carlo methodGeneral Physics and AstronomyNanoparticle02 engineering and technologyPolymer010402 general chemistry021001 nanoscience & nanotechnology01 natural sciences0104 chemical sciencesMolecular dynamicsNanolithographychemistryScientific methodParticle sizeKinetic Monte CarloPhysical and Theoretical Chemistry0210 nano-technologyBiological systemThe Journal of chemical physics
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Glass transition of polymer melts: Test of theoretical concepts by computer simulation.

2003

Abstract Polymers are good glass formers and allow for the study of melts near the glass transition in (meta-)stable equilibrium. Theories of the glass transition imply such an equilibrium and can, hence, be tested by the study of polymer melts. After a brief summary of the basic experimental facts about the glass transition in polymers, the main theoretical concepts are reviewed: mode coupling theory (MCT), entropy theory, free-volume theory, the idea of a growing length describing the size of cooperative regions, etc. Then, two basic coarse-grained models of polymers are described, which have been developed aiming at a test of these concepts. The first model is the bond-fluctuation model …

chemistry.chemical_classificationPolymers and PlasticsChemistryOrganic ChemistryMonte Carlo methodConfiguration entropy02 engineering and technologySurfaces and InterfacesPolymer021001 nanoscience & nanotechnology01 natural sciencesCondensed Matter::Soft Condensed MatterMolecular dynamics0103 physical sciencesMode couplingMaterials ChemistryCeramics and CompositesEntropy (information theory)Kinetic Monte CarloStatistical physics010306 general physics0210 nano-technologyGlass transition[PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft]
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Kinetic Monte Carlo Simulations of Flow-Assisted Polymerization

2012

We performed kinetic Monte Carlo simulations on a model of a polymerization process in the presence of a periodic oscillatory flow to explore the role of mixing in polymerization reactors. Application of an oscillatory flow field helps overcome the diffusive limitations that develop during a polymerization process due to an increase in the molecular weights of polymer chains, thereby giving rise to high rates of polymerization. A systematic increase in the flow strength results in a "dynamic" coil-stretch transition, leading to an elongation of polymer chains. Reactive ends of stretched (polymer) chains react more frequently than the reactive ends of coiled chains, which are screened by oth…

chemistry.chemical_classificationQuantitative Biology::BiomoleculesMaterials sciencePolymers and PlasticsField (physics)Organic Chemistrytechnology industry and agricultureMixing (process engineering)NanotechnologyPolymerInorganic Chemistrychemistry.chemical_compoundMonomerchemistryPolymerizationFlow (mathematics)Chemical physicsMaterials ChemistryKinetic Monte CarloChoked flowACS Macro Letters
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Mechanism of Trichloroethene Hydrodehalogenation: A First-Principles Kinetic Monte Carlo Study

2014

A hydrodehalogenation (HDC) reaction of trichloroethene (TCE) has gained a lot of interest due to its possible application in water purification, but the reaction mechanism has been subject to much controversy. In this work, HDC of TCE on Pd(111) was examined by carrying out kinetic Monte Carlo simulations based on DFT-calculated thermodynamic and kinetic parameters. Obtained kMC results show that the HDC follows a so-called direct pathway, which means that, after adsorption on a catalyst, TCE quickly dechlorinates, producing CH–C and then, more slowly, hydrogenates to form hydrocarbon products. This is reflected in the surface coverage snapshots, where intermediates corresponding to the di…

chemistry.chemical_classificationReaction mechanismWork (thermodynamics)ChemistryKinetic energySurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsCatalysisGeneral EnergyAdsorptionHydrocarbonMechanism (philosophy)Computational chemistryOrganic chemistryKinetic Monte CarloPhysical and Theoretical Chemistryta116The Journal of Physical Chemistry C
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The effect of heat treatment on the morphology and mobility of Au nanoparticles

2020

This work was supported by The Centre National de la Recherche Scientifique (CNRS) of France and the French Embassy Program. The authors are also grateful for partial support by COST Action CA15216, the Estonian Science Foundation (grants PUT1689 and PUT1372), the Estonian Centre of Excellence in Zero Energy and Resource Efficient Smart Buildings and Districts, ZEBE, grant 2014-2020.4.01.15.0016 and Latvian Science Council grant lzp-2018/2-0083.

fusionmeltingMaterials scienceAnnealing (metallurgy)General Physics and AstronomyNanoparticle02 engineering and technologylcsh:Chemical technology010402 general chemistrylcsh:Technology01 natural sciencesFull Research PaperLower energyAnnealing:NATURAL SCIENCES:Physics [Research Subject Categories]ManipulationNanotechnologylcsh:TP1-1185atomic force microscopy (AFM)General Materials ScienceKinetic Monte CarloElectrical and Electronic Engineeringlcsh:ScienceFusionlcsh:TAtomic force microscopyNanotribologynanotribologyMeltingDissipation021001 nanoscience & nanotechnologylcsh:QC1-9990104 chemical sciencesNanoscienceChemical engineeringAtomic force microscopy (AFM)microscopie à force atomique (AFM)manipulationNanotribologylcsh:Qannealing[CHIM.OTHE]Chemical Sciences/OtherAu nanoparticles0210 nano-technologynanoparticules d'Aulcsh:PhysicsBeilstein Journal of Nanotechnology
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