Search results for " Monte Carlo"

showing 10 items of 400 documents

Monte Carlo simulation of the glass transition in polymer melts: An application of MCT

1995

Abstract This paper reviews the results of a large scale Monte Carlo simulation for the dynamics of a supercooled polymer melt. The dynamics of the melt was studied by means of the time evolution of the incoherent intermediate scattering function φs q(t), which was monitored over seven decades in time. In an intermediate time window it is possible to describe the decay of φs q(t) quantitatively in the framework of mode-coupling theory, provided the extended version of the theory is used.

chemistry.chemical_classificationMaterials scienceScale (ratio)Applied MathematicsMonte Carlo methodTime evolutionGeneral Physics and AstronomyThermodynamicsTransportationStatistical and Nonlinear PhysicsPolymerCondensed Matter::Soft Condensed MatterchemistryTime windowsDynamic Monte Carlo methodStatistical physicsGlass transitionSupercoolingMathematical PhysicsTransport Theory and Statistical Physics
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Recent Developments in Monte Carlo Simulations of Lattice Models for Polymer Systems

2008

A brief review is given of methodological advances made during the past decade with the Monte Carlo sampling of equilibrium properties of simple lattice models of polymer systems, and representative applications of these new algorithms are summarized. These algorithms include Wang−Landau (WL) sampling, the pruned-enriched Rosenbluth method (PERM), and topology violating dynamic Monte Carlo algorithms such as combinations of local moves, slithering snake moves, and “double bridging” moves for the bond fluctuation model. The applications mentioned concern phase-transition-like phenomena of single chains (collapse and crystallization in bad solvents; interplay of collapse and adsorption; escap…

chemistry.chemical_classificationPolymers and PlasticsChemistryOrganic ChemistryMonte Carlo methodBinary numberPolymerCondensed Matter::Soft Condensed MatterInorganic ChemistryIntramolecular forceLattice (order)Materials ChemistryDynamic Monte Carlo methodStatistical physicsPolymer blendBond fluctuation modelMacromolecules
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Stimuli-responsive brushes with active minority components: Monte Carlo study and analytical theory

2015

Using a combination of analytical theory, Monte Carlo simulations, and three dimensional self-consistent field calculations, we study the equilibrium properties and the switching behavior of adsorption-active polymer chains included in a homopolymer brush. The switching transition is driven by a conformational change of a small fraction of minority chains, which are attracted by the substrate. Depending on the strength of the attractive interaction, the minority chains assume one of two states: An exposed state characterized by a stem-crown-like conformation, and an adsorbed state characterized by a flat two-dimensional structure. Comparing the Monte Carlo simulations, which use an Edwards-…

chemistry.chemical_classificationPolymers and PlasticsChemistryOrganic ChemistryMonte Carlo methodBrushFOS: Physical sciencesPolymerFlory–Huggins solution theoryCondensed Matter - Soft Condensed Matterlaw.inventionCondensed Matter::Soft Condensed MatterInorganic Chemistrysymbols.namesakelawThermalExcluded volumeMaterials ChemistrysymbolsDynamic Monte Carlo methodSoft Condensed Matter (cond-mat.soft)Statistical physicsHamiltonian (quantum mechanics)
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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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Computational Techniques for the Analysis of Small Signals in High-Statistics Neutrino Oscillation Experiments

2020

The current and upcoming generation of Very Large Volume Neutrino Telescopes – collecting unprecedented quantities of neutrino events – can be used to explore subtle effects in oscillation physics, such as (but not restricted to) the neutrino mass ordering. The sensitivity of an experiment to these effects can be estimated from Monte Carlo simulations. With the high number of events that will be collected, there is a trade-off between the computational expense of running such simulations and the inherent statistical uncertainty in the determined values. In such a scenario, it becomes impractical to produce and use adequately-sized sets of simulated events with traditional methods, such as M…

data analysis methodNuclear and High Energy PhysicsMonte Carlo methodFVLV nu TData analysis; Detector; KDE; MC; Monte Carlo; Neutrino; Neutrino mass ordering; Smoothing; Statistics; VLVνTData analysisKDEFOS: Physical sciences01 natural sciencesIceCubeHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)statistical analysisnumerical methods0103 physical sciencesStatisticsNeutrinoddc:530Sensitivity (control systems)MC010306 general physicsNeutrino oscillationInstrumentation and Methods for Astrophysics (astro-ph.IM)InstrumentationMonte CarloPhysicsVLVνT010308 nuclear & particles physicsOscillationStatisticsoscillation [neutrino]ObservableDetectorMonte Carlo [numerical calculations]WeightingNeutrino mass orderingPhysics and AstronomyPhysics - Data Analysis Statistics and ProbabilityPhysique des particules élémentairesNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsMATTERData Analysis Statistics and Probability (physics.data-an)SmoothingSmoothing
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Bayesian reanalysis of a quantitative trait locus accounting for multiple environments by scaling in broilers1

2006

A Bayesian method was developed to handle QTL analyses of multiple experimental data of outbred populations with heterogeneity of variance between sexes for all random effects. The method employed a scaled reduced animal model with random polygenic and QTL allelic effects. A parsimonious model specification was applied by choosing assumptions regarding the covariance structure to limit the number of parameters to estimate. Markov chain Monte Carlo algorithms were applied to obtain marginal posterior densities. Simulation demonstrated that joint analysis of multiple environments is more powerful than separate single trait analyses of each environment. Measurements on broiler BW obtained from…

education.field_of_studybusiness.industryBayesian probabilityPopulationfood and beveragesAccountingMarkov chain Monte CarloGeneral MedicineCovarianceBiologyQuantitative trait locusRandom effects modelsymbols.namesakeBayes' theoremStatisticsGeneticsTraitsymbolsAnimal Science and ZoologybusinesseducationFood ScienceJournal of Animal Science
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NuSTEC White Paper: Status and challenges of neutrino–nucleus scattering

2018

International audience; The precise measurement of neutrino properties is among the highest priorities in fundamental particle physics, involving many experiments worldwide. Since the experiments rely on the interactions of neutrinos with bound nucleons inside atomic nuclei, the planned advances in the scope and precision of these experiments require a commensurate effort in the understanding and modeling of the hadronic and nuclear physics of these interactions, which is incorporated as a nuclear model in neutrino event generators. This model is essential to every phase of experimental analyses and its theoretical uncertainties play an important role in interpreting every result.In this Wh…

electron nucleus: interactionNuclear TheoryElementary particle7. Clean energy01 natural sciencesCROSS-SECTIONSScatteringHigh Energy Physics - Phenomenology (hep-ph)Nuclear Experimentneutrino: interactionCOHERENT PION-PRODUCTIONPhysicsstrong interactionElectroweak interactionModel; Neutrino; Nuclear; Nucleus; Oscillations; Scattering; Nuclear and High Energy PhysicsHigh Energy Physics - PhenomenologyMUON-NEUTRINONeutrinoNucleonnumerical calculations: Monte CarloNuclear and High Energy PhysicsParticle physicsOscillationsFORM-FACTORSProcess (engineering)FOS: Physical sciencesELECTROMAGNETIC RESPONSEnuclear modelNucleusMESON-EXCHANGE CURRENTSNNLO QCD ANALYSISCHARGED-CURRENT INTERACTIONSnuclear physicsdeep inelastic scattering0103 physical sciencesNeutrinoNuclear010306 general physicsneutrino nucleus: scatteringresonance: modelelectroweak interaction010308 nuclear & particles physicsR=SIGMA-L/SIGMA-Tneutrino nucleus: interactionDeep inelastic scatteringPhysics and Astronomy13. Climate actionINELASTIC ELECTRON-SCATTERING[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]Atomic nucleusneutrino: oscillationEvent (particle physics)Model
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HOT-ELECTRON NOISE FEATURES IN SILICON CRYSTALS OPERATING UNDER PERIODIC SIGNALS

2014

We study the intrinsic noise in n-type Si crystals operating under high-frequency periodic electric fields. To simulate the dy- namics of electrons in the bulk, by taking into account the main details of band structure, scattering processes, as well as heating effects, a Monte Carlo approach is used. The noise properties are investigated by computing the velocity fluctuations correlation function, its spectral density, and the total noise power for different values of the amplitude and frequency of the driving field. We show that the noise features are significantly affected by the electric field amplitude and frequency and discuss their peculiari- ties in comparison with those exhibited in…

electronic noise Monte Carlo simulation high-frequency electric fieldsGeneral Physics and AstronomySettore FIS/03 - Fisica Della MateriaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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