Search results for " Carl"

showing 10 items of 1737 documents

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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From orientational glasses to structural glasses: What computer simulations have contributed to understand experiments

2002

Abstract Orientational glasses, produced by random dilution of molecular crystals, exhibit a freezing transition of the quadrupole moments. Monte Carlo simulations of lattice models (generalization of the Edwards–Anderson spin glass model) have been used to elucidate this behavior. While short range models exhibit a static glass transition at zero temperature only, the infinite range Potts glass exhibits a transition where a glass order parameter appears discontinuously. At higher temperature, a dynamical transition occurs, described by mode-coupling theory (MCT). MCT has also been tested by Monte Carlo and molecular dynamics simulations of coarse-grained models of glass-forming polymers. W…

chemistry.chemical_classificationSpin glassCondensed matter physicsMonte Carlo methodPolymerCondensed Matter PhysicsCondensed Matter::Disordered Systems and Neural NetworksElectronic Optical and Magnetic MaterialsCondensed Matter::Soft Condensed MatterMolecular dynamicschemistryLattice (order)Materials ChemistryCeramics and CompositesGlass transitionAnderson impurity modelPotts modelJournal of Non-Crystalline Solids
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Monte Carlo methods for polymer chains in two - dimensional geometries (polymers at surfaces and interfaces)

1993

Coarse-grained models of polymers at interfaces can be defined such that their treatment by Monte Carlo simulation is most convenient and efficient for the problem at hand. This simulation strategy is briefly illustrated with three examples: (1) The orientational ordering of rigid rod-like polymers grafted to a surface, where “table methods” can be used, applying a fine discretization of the angles describing rod orientation. (2) Surface enrichment of one species in a polymer blend is treated by a semi-grand-canonical technique. (3) The number of configurations and structure of a star polymer attached with its center to a wall is studied by a “growth technique” generalizing simple sampling …

chemistry.chemical_classificationSurface (mathematics)Quantitative Biology::BiomoleculesMaterials sciencePolymers and PlasticsDiscretizationOrganic ChemistryMonte Carlo methodPolymerCondensed Matter PhysicsCondensed Matter::Soft Condensed MatterchemistryComputational chemistrySimple (abstract algebra)Orientation (geometry)Materials ChemistryPolymer blendStatistical physicsMakromolekulare Chemie. Macromolecular Symposia
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Chain linear dimensions in the surface-enriched layer of polymer mixtures

1992

We calculate the mean-square end-to-end distances and mean-square gyration radii using the bond fluctuation model for a binary polymer blend in the presence of a wall by Monte Carlo simulation. In the bulk, the size of the minority, low-concentration polymer species is compressed compared to the majority one. In the vicinity of the wall, where the minority polymer concentration is enriched due to attraction from the wall, the dimensions of the two types of polymers are approximately equal and are essentially the same as in an athermal polymer melt. Thus, the geometric constraint is more important to the structure of the polymers than the polymer-polymer and polymer-wall interactions.

chemistry.chemical_classificationSurface (mathematics)Quantitative Biology::BiomoleculesMonte Carlo methodMineralogyPolymer architecturePolymerGyrationCondensed Matter::Soft Condensed MatterchemistryChain (algebraic topology)Chemical physicsPolymer blendLayer (electronics)Die Makromolekulare Chemie, Theory and Simulations
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Semidilute and Concentrated Polymer Solutions near Attractive Walls:  Dynamic Monte Carlo Simulation of Density and Pressure Profiles of a Coarse-Gra…

1997

Using a bead−spring model of flexible polymer chains, we study polymer adsorption from solutions onto attractive planar walls, varying both the strength of the adsorption potential e and the concentration of the solution over a wide range. Treating the case of good solvents, the profiles of density and pressure are computed and it is shown that thermal equilibrium between the adsorbed layer and the bulk solution is obtained. The case of a wall with purely repulsive potential under otherwise identical conditions is treated for comparison. It is shown that for the strongly adsorbing wall there is a pronounced layering, while a layered structure at the repulsive wall occurs only for high conce…

chemistry.chemical_classificationThermal equilibriumPolymers and PlasticsChemistryOrganic ChemistryMonte Carlo methodPolymerPolymer adsorptionSurface energyCondensed Matter::Soft Condensed MatterInorganic ChemistryAdsorptionChemical physicsMaterials ChemistryStatistical physicsTotal pressureLayeringMacromolecules
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Diffusional Relaxation in Dimer Deposition

1992

In deposition of dimers on a 1D lattice substrate, we find by analytical arguments, supported by numerical Monte Carlo simulations, that the effect of added diffusional relaxation is to allow the full, saturation coverage, 100%, for large times. This limiting coverage is approached according to the ~ 1/√t power law preceded, for fast diffusion, by the mean-field crossover regime with the intermediate ~ 1/t behavior.

chemistry.chemical_compoundMaterials scienceAdsorptionchemistryVacancy defectLattice (order)DimerMonte Carlo methodKineticsGeneral Physics and AstronomyThermodynamicsLimitingPower lawEurophysics Letters (EPL)
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Computer Simulations of Undercooled Fluids and Glasses

2007

An introduction to the Molecular Dynamics (MD) simulation of chemically realistic models for undercooled fluids and glasses is given, emphasizing silicatic materials such as molten silicon dioxide and its mixtures with sodium oxide and aluminium oxide, and comparing the simulation results to experimental data whenever possible.

chemistry.chemical_compoundMolecular dynamicsMolten siliconMaterials sciencechemistrySodium oxideMonte Carlo methodAluminium oxideThermodynamicsVerlet integration
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Erratum to “New time-dependent Monte Carlo algorithm designed to model three-phase batch reactor processes: applications on 2,4-dinitro-toluene hydro…

2003

Erratum to “New time-dependent Monte Carlo algorithm designed to model three-phase batch reactor processes: applications on 2,4-dinitro-toluene hydrogenation on Pd/C catalysts” [Chem. Eng. J. 91 (2003) 133–142] Giampaolo Barone a,b, Dario Duca a,b,∗ a Dipartimento di Chimica Inorganica ed Analitica, Universita di Palermo, Viale delle Scienze, I-90128 Palermo, Italy b Dipartimento di Scienze Farmaceutiche, Universita di Salerno, Via Ponte don Melillo, I-84084 Fisciano, Salerno, Italy

chemistry.chemical_compoundThree-phaseChemistryGeneral Chemical EngineeringBatch reactorEnvironmental ChemistryPhysical chemistryGeneral ChemistryStatistical physicsTolueneIndustrial and Manufacturing EngineeringMonte Carlo algorithmCatalysisChemical Engineering Journal
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GPU accelerated Monte Carlo simulations of lattice spin models

2011

We consider Monte Carlo simulations of classical spin models of statistical mechanics using the massively parallel architecture provided by graphics processing units (GPUs). We discuss simulations of models with discrete and continuous variables, and using an array of algorithms ranging from single-spin flip Metropolis updates over cluster algorithms to multicanonical and Wang-Landau techniques to judge the scope and limitations of GPU accelerated computation in this field. For most simulations discussed, we find significant speed-ups by two to three orders of magnitude as compared to single-threaded CPU implementations.

cluster algorithmsStatistical Mechanics (cond-mat.stat-mech)Computer scienceComputationNumerical analysisspin modelsMonte Carlo methodHigh Energy Physics - Lattice (hep-lat)FOS: Physical sciencesStatistical mechanicsGPU computingPhysics and Astronomy(all)Computational Physics (physics.comp-ph)generalized-ensemble simulationsMonte Carlo simulationsComputational scienceCUDAHigh Energy Physics - LatticeSpin modelGeneral-purpose computing on graphics processing unitsGraphicsPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Estimating QCD uncertainties in Monte Carlo event generators for gamma-ray dark matter searches

2018

Motivated by the recent galactic center gamma-ray excess identified in the Fermi-LAT data, we perform a detailed study of QCD fragmentation uncertainties in the modeling of the energy spectra of gamma-rays from Dark-Matter (DM) annihilation. When Dark-Matter particles annihilate to coloured final states, either directly or via decays such as $W^{(*)}\to q\bar{q}'$, photons are produced from a complex sequence of shower, hadronisation and hadron decays. In phenomenological studies, their energy spectra are typically computed using Monte Carlo event generators. These results have however intrinsic uncertainties due to the specific model used and the choice of model parameters, which are diffi…

dark matter simulationsParticle physicsCosmology and Nongalactic Astrophysics (astro-ph.CO)PhotonAstrophysics::High Energy Astrophysical Phenomenamodel [hadronization]SLDgamma ray theoryDark matterMonte Carlo methodHadronFOS: Physical sciencesmass [dark matter]01 natural sciencesHigh Energy Physics - Phenomenology (hep-ph)fragmentationquantum chromodynamics0103 physical sciencesconservation lawddc:530High Energy PhysicsMonte Carloenergy spectrum [gamma ray]Quantum chromodynamicsPhysicsdark matter theoryAnnihilation010308 nuclear & particles physicsphotonGamma rayCERN LEP StorAstronomy and AstrophysicsshowersGalaxyHigh Energy Physics - PhenomenologyannihilationExperimental High Energy PhysicsHigh Energy Physics::Experimentgalaxydecay [hadron]GLAST [interpretation of experiments]Astrophysics - Cosmology and Nongalactic Astrophysics
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