Search results for "monte carlo simulation"

showing 10 items of 104 documents

Noise features in InP semiconductors operating under static or sub-Terahertz electric fields

2014

The sensitivity of semiconductor based circuits is strongly affected by the presence of intrinsic noise, which limits the performance of electronic devices. For this reason, several studies have investigated and characterized the transport properties of hot-electrons in semiconductor structures, by analyzing the electronic noise in systems operating under static and/or large-signal periodic driving conditions. Previous studies on electron velocity fluctuations in III-V and covalent semiconductor crystals, driven by periodic electric fields, have shown that the total noise power depends on both the amplitude and the frequency of the excitation signals. On the other hand, to the best of our k…

Tera-Hertz fieldsNoise featureInP crystalMonte Carlo simulationSettore FIS/03 - Fisica Della Materia
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A probabilistic approach to radiant field modeling in dense particulate systems

2016

Radiant field distribution is an important modeling issue in many systems of practical interest, such as photo-bioreactors for algae growth and heterogeneous photo-catalytic reactors for water detoxification.In this work, a simple radiant field model suitable for dispersed systems showing particle size distributions, is proposed for both dilute and dense two-phase systems. Its main features are: (i) only physical, independently assessable parameters are involved and (ii) its simplicity allows a closed form solution, which makes it suitable for inclusion in a complete photo-reactor model, where also kinetic and fluid dynamic sub-models play a role. A similar model can be derived by making us…

Work (thermodynamics)EngineeringField (physics)General Chemical EngineeringSettore ING-IND/25 - Impianti ChimiciMonte Carlo methodINGENIERÍAS Y TECNOLOGÍAS02 engineering and technology010402 general chemistry01 natural sciencesIndustrial and Manufacturing EngineeringMONTE CARLO SIMULATIONRADIANT FIELD MODELINGChemical Engineering (all)Statistical physicsSimulationMonte Carlo simulationDENSE PARTICULATE SYSTEMPlane (geometry)business.industryApplied MathematicsChemistry (all)Probabilistic logicStatistical modelDense particulate systemGeneral Chemistry021001 nanoscience & nanotechnology0104 chemical sciencesIngeniería QuímicaApplied MathematicPHOTO-BIOREACTORSOtras Ingeniería QuímicaPhoto-bioreactorClosed-form expression0210 nano-technologyFocus (optics)businessPHOTO-CATALYSISPhoto-catalysiRadiant field modeling
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Methodology for assessment of measuring uncertainties of articulated arm coordinates measuring machine

2014

International audience; The Articulated Arm Coordinate Measuring Machines (AACMM) have gradually evolved and are increasingly used in mechanic industry. At present, measurement uncertainties relating to the use of these devices are not yet well-quantified. The work carried out consists on determining the measurement uncertainties of a mechanical part by an Articulated Arm Coordinate Measuring Machine. The studies aiming to develop a model of measurement uncertainties are based on the Monte Carlo method developed in Supplement 1 of the Guide to Expression of Uncertainty in Measurement [1] but also identifying and characterizing the main sources of uncertainty. A Multi-level Monte Carlo appro…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]0209 industrial biotechnologyComputer scienceApplied MathematicsMonte Carlo methodWork (physics)Uncertainty[PHYS.MECA.GEME]Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]Monte Carlo SimulationControl engineering02 engineering and technologyCoordinate-measuring machineArticulated Arm Coordinate Measuring Machine01 natural sciencesExpression (mathematics)[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]010309 optics020901 industrial engineering & automation0103 physical sciences[ PHYS.MECA.GEME ] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]CalibrationMeasurement uncertaintyPoint (geometry)InstrumentationEngineering (miscellaneous)
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Calcul des contributions des incertitudes dans un modèle complexe de qualité de l'eau

2010

The quantification of uncertainty in integrated urban drainage water quality models is of paramount interest. Indeed, the assessment of the reliability of the model results for complex water quality models is useful for understanding the significance of the results. However, the state of knowledge regarding uncertainties in urban drainage models is poor. In the case of integrated urban drainage water quality models, due to the fact that integrated approaches are basically a cascade of sub-models (simulating sewer system, wastewater treatment plant and receiving water body), the uncertainty produced in one sub-model propagates to the following ones depending on the model structure, the estim…

[SDE.IE]Environmental Sciences/Environmental EngineeringSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia[SDE.IE] Environmental Sciences/Environmental EngineeringMonte Carlo simulation sensitivity analysis uncertainty analysis variance decompositionNetworksRéseaux
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Highly Defined, Colloid‐Like Ionic Clusters in Solution

2012

Many societal challenges at the beginning of the 21st century lead to an apparent and growing need for functional materials and novel ways of materials synthesis and assembly. Rising to the challenge, the utilization of small, self-assembling building blocks for the bottom-up construction of new types of polymers and nanostructures has enjoyed increasing popularity among materials researchers in the recent past. Supramolecular materials like foldamers, surface films, nanoparticles, etc. are created by exploiting noncovalent forces [1] leading to an ordered arrangement of nanoscale building blocks. [2] In the search for new polymers based on noncovalent molecular forces, we are motivated by …

chemistry.chemical_classificationNanostructureChemistrySupramolecular chemistryNanoparticleIonic bondingdynamic light scatteringNanotechnologyself-assemblyGeneral ChemistryPolymerCommunicationsmolecular dynamicsnanoscale electrostaticsMonte Carlo simulationsSupramolecular polymersMolecular dynamicsSelf-assemblyChemistryOpen
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Third virial coefficient for 4-arm and 6-arm star polymers

2008

We discuss the computation of the third virial coefficient in polymer systems, focusing on an additional contribution absent in the case of monoatomic fluids. We determine the interpenetration ratio and several quantities that involve the third virial coefficient for star polymers with 4 and 6 arms in the good-solvent regime, in the limit of a large degree of polymerization.

chemistry.chemical_classificationPhysicsMonatomic gasStatistical Mechanics (cond-mat.stat-mech)Polymers and PlasticsOrganic ChemistryMonte Carlo methodFOS: Physical sciencesThermodynamicsPolymerStatistical mechanicsDegree of polymerizationCondensed Matter - Soft Condensed MatterCondensed Matter Physicsmonte carlo simulations; star polymers; statistical mechanics; statistical thermodynamics; virial expansionInorganic ChemistrychemistryVirial coefficientMaterials ChemistryVirial expansionSoft Condensed Matter (cond-mat.soft)Limit (mathematics)Condensed Matter - Statistical Mechanics
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Pattern-recognising Polymer Adsorption on Structured Surfaces: Gaussian Polymers vs. Freely Jointed Chains

2014

Abstract Selective adsorption of homopolymers is exploited as a model for pattern recognition. To this end the strong adsorption regime of Gaussian polymers adsorbed on a regularly structured surface is investigated for square and triangular lattices within a discrete Edwards model. The equilibrium behaviour of the specific heat, the gyration tensor and the (nematic) bond order tensor are analysed and compared to the properties for adsorbed freely jointed polymer chains.

chemistry.chemical_classificationQuantitative Biology::BiomoleculesMaterials sciencepattern recognitionGyration tensorPolymerPolymer adsorptionPhysics and Astronomy(all)Bond orderMonte Carlo simulationsCondensed Matter::Soft Condensed MatterPolymer adsorptionCondensed Matter::Materials ScienceAdsorptionchemistryLiquid crystalChemical physicsSelective adsorptionTensorPhysics::Chemical PhysicsPhysics Procedia
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Entropy theory and glass transition: A test by Monte Carlo simulation

1997

This article reviews the results of a test of the Gibbs-DiMarzio theory by Monte Carlo Simulation. The simulation employed the bond-fluctuation model on a simple cubic lattice. This model incorporates two kinds of interactions: the excluded volume interaction among all monomers of the melt and an internal energy of the chains, which favors large bonds and makes the chains stiffen with decreasing temperature. The stiffening of the chains leads to an increase of their volume requirements, which competes with the packing constraints at low temperatures. This competition strongly slows down the structural relaxation of the melt and induces the glassy behavior. The model therefore takes into acc…

chemistry.chemical_classificationQuantitative Biology::Biomoleculesbond-fluctuation modelMaterials scienceInternal energyMonte Carlo methodGibbs-DiMarzio theoryGeneral EngineeringThermodynamicsSimple cubic latticePolymerArticleStiffeningCondensed Matter::Soft Condensed Matterentropy measurementchemistryExcluded volumeAdam-Gibbs theoryEntropy (information theory)chemical potentialglass transitionStatistical physicsdiffusion coefficientGlass transitionMonte Carlo simulation
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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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ELECTRON SPIN RELAXATION PROCESS IN SILICON CRYSTALS

2014

Recently, electrical injection of spin polarization in n-type and p-type silicon has been experimentally carried out up to room-temperature. Despite of these preliminary but promising experimental results, a comprehensive theoretical framework concerning the influence of transport conditions on the phonon-induced spin depolarization process in silicon structures, in a wide range of values of temperature, doping concentration and amplitude of external fields, is still in a developing stage. In order to elucidate the electron transport and spin dynamics of conduction electrons in lightly doped n-type Si crystals we have performed semiclassical multiparticle Monte Carlo simulations and numeric…

electron-phonon interactions.siliconSpin relaxation proceMonte Carlo simulationSettore FIS/03 - Fisica Della MateriaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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