Search results for "monte carlo simulation"

showing 10 items of 104 documents

Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals

2022

We extend the results of De Luca et al. (2021) to inference for linear regression models based on weighted-average least squares (WALS), a frequentist model averaging approach with a Bayesian flavor. We concentrate on inference about a single focus parameter, interpreted as the causal effect of a policy or intervention, in the presence of a potentially large number of auxiliary parameters representing the nuisance component of the model. In our Monte Carlo simulations we compare the performance of WALS with that of several competing estimators, including the unrestricted least-squares estimator (with all auxiliary regressors) and the restricted least-squares estimator (with no auxiliary reg…

Shrinkage estimatorStatistics::TheorySettore SECS-P/05Economics Econometrics and Finance (miscellaneous)Linear model WALS condence intervals prediction intervals Monte Carlo simulations.Prediction intervalEstimatorSettore SECS-P/05 - EconometriaComputer Science ApplicationsLasso (statistics)Frequentist inferenceBayesian information criterionStatisticsStatistics::MethodologyAkaike information criterionJackknife resamplingMathematics
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Phonon-induced spin depolarization of conduction electrons in silicon crystals

2014

In last decade the process of spin relaxation of conduction electrons in semiconductor structures has been widely investigated, in order to use spin polarization as information carrier [1]. However, each initial non-equilibrium orientation decays over time during the transport. Thus, to make feasible the implementation of spin-based electronic devices, the features of spin relaxation at relatively high temperatures, jointly with the influence of transport conditions, should be fully understood [1]. Electrical injection of spin polarization in silicon structures up to room temperature has been experimentally carried out [2]. Despite these promising experimental results, a comprehensive theor…

Silicon crystalsSpintronicMonte Carlo simulationSettore FIS/03 - Fisica Della Materia
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Nonlinear dependence on temperature and field of electron spin depolarization in GaAs semiconductors

2009

In this work the influence of temperature and drift conditions on the electron spin relaxation in lightly doped n-type GaAs bulk semiconductors is investigated. The electron transport, including the evolution of the spin polarization vector, is simulated by a Monte Carlo procedure which keeps into account all the possible scattering phenomena of the hot electrons in the medium. Electron-spin states in semiconductor structures relax by scattering with imperfections, other carriers and phonons. Spin relaxation lengths and times are computed through the D'yakonov-Perel process since this is the more relevant spin relaxation mechanism in the regime of interest (10 < T < 300 K). The decay of the…

Spin polarized transport in semiconductorMonte Carlo simulation.spin relaxation and scattering
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Doping dependence of spin lifetime of drifting electrons in GaAs bulks

2010

We study the effect of the impurity density on lifetimes and relaxation lengths of electron spins in the presence of a static electric field in a n-type GaAs bulk. The transport of electrons and the spin dynamics are simulated by using a semiclassical Monte Carlo approach, which takes into account the intravalley scattering mechanisms of warm electrons in the semiconductor material. Spin relaxation is considered through the D'yakonov-Perel mechanism, which is the dominant mechanism in III-V semiconductors. The evolution of spin polarization is analyzed by computing the lifetimes and depolarization lengths as a function of the doping density in the range 10^{13} - 10^{16} cm^{-3}, for differ…

Spin polarized transport in semiconductorspin relaxation and scatteringMonte Carlo simulationSettore FIS/03 - Fisica Della Materia
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A Stochastic Approach to Quantum Statistics Distributions: Theoretical Derivation and Monte Carlo Modelling

2009

Abstract. We present a method aimed at a stochastic derivation of the equilibrium distribution of a classical/quantum ideal gas in the framework of the canonical ensemble. The time evolution of these ideal systems is modelled as a series of transitions from one system microstate to another one and thermal equilibrium is reached via a random walk in the single-particle state space. We look at this dynamic process as a Markov chain satisfying the condition of detailed balance and propose a variant of the Monte Carlo Metropolis algorithm able to take into account indistinguishability of identical quantum particles. Simulations performed on different two-dimensional (2D) systems are revealed to…

Statistics and ProbabilityCanonical ensemblePhysicsclassical Monte Carlo simulations quantum Monte Carlo simulations stochastic particle dynamics (theory)Monte Carlo methodStatistical and Nonlinear PhysicsMarkov chain Monte CarloIdeal gasMicrostate (statistical mechanics)symbols.namesakeThermodynamic limitDynamic Monte Carlo methodsymbolsStatistical physicsStatistics Probability and UncertaintyQuantum statistical mechanics
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Stochastic dynamics of leukemic cells under an intermittent targeted therapy

2009

The evolutionary dynamics of cancerous cell populations in a model of Chronic Myeloid Leukemia (CML) is investigated in the presence of an intermittent targeted therapy. Cancer development and progression is modeled by simulating the stochastic evolution of initially healthy cells which can experience genetic mutations and modify their reproductive behavior, becoming leukemic clones. Front line therapy for the treatment of patients affected by CML is based on the administration of tyrosine kinase inhibitors, namely imatinib (Gleevec) or, more recently, dasatinib or nilotinib. Despite the fact that they represent the first example of a successful molecular targeted therapy, the development o…

Statistics and ProbabilityComplex systemsmedicine.medical_treatmentModels BiologicalPiperazinesSettore FIS/03 - Fisica Della MateriaCancer evolutionTargeted therapyLeukemia Myelogenous Chronic BCR-ABL Positivehemic and lymphatic diseasesStochastic dynamics; Cancer evolution; Complex systemsHumansMedicineComputer SimulationStochastic dynamicMolecular Targeted TherapyProtein Kinase InhibitorsEcology Evolution Behavior and SystematicsStochastic Processesbusiness.industryApplied MathematicsMyeloid leukemiaImatinibmedicine.diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)DasatinibLeukemiaPyrimidinesImatinib mesylateNilotinibStochastic dynamics Monte Carlo simulationBenzamidesImmunologyCancer cellDisease ProgressionImatinib MesylateCancer researchbusinessmedicine.drug
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Stochastic analysis of motorcycle dynamics

2011

Off-road and racing motorcycles require a particular setup of the suspensions to improve the comfort and the safety of the rider, maintaining a continuous contact between the road and the motorcycle (by means of the tires). Further, because of the ground roughness, in the case of offroad motorcycle, suspensions usually experience extreme and erratic excursions (suspension stroke) in performing their function. In this regard, the adoption of nonlinear devices can, perhaps, limit both the acceleration experienced by the sprung mass and the excursions of the suspensions. This leads to the consideration of asymmetric nonlinearly-behaving suspensions. This option, however, induces the difficulty…

Stochastic processStatistical linearization Autoregressive models Monte Carlo simulation Nonlinear devices.Bicycle and motorcycle dynamicsStatistical physicsSettore ICAR/08 - Scienza Delle CostruzioniMathematics
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Simulation analysis of cold chain performance based on time–temperature data

2011

Perishable goods are a fundamental source of revenue for the retail sector; their management, however, constitutes a severe challenge for retailers and supply chain partners. A significant cost in particular is the fraction of products perished through the supply chain, which also constitutes an ethical and environmental concern. Supply chain organisation and operative characteristics have a significant influence on this matter, as in fact ensuring suitable temperature conditions for the stock-keeping units throughout the supply chain is mandatory for perishable products. Recent developments in sensing and communication technologies allow detailed monitoring and control of cold chain; howev…

Supply chain risk managementSupply chain managementMonte Carlo Simulation; shelf lifeStrategy and Managementmedia_common.quotation_subjectSupply chainService managementManagement Science and Operations ResearchMonte Carlo Simulation shelf lifeIndustrial and Manufacturing EngineeringComputer Science ApplicationsProduct (business)CommerceRevenueQuality (business)BusinessCold chainIndustrial organizationmedia_common
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Island Diffusion on Metal fcc (100) Surfaces

1999

We present Monte Carlo simulations for the size and temperature dependence of the diffusion coefficient of adatom islands on the Cu(100) surface. We show that the scaling exponent for the size dependence is not a constant but a decreasing function of the island size and approaches unity for very large islands. This is due to a crossover from periphery dominated mass transport to a regime where vacancies diffuse inside the island. The effective scaling exponents are in good agreement with theory and experiments.

Surface (mathematics)Condensed Matter - Materials ScienceMaterials scienceCondensed matter physicsPhysicsCrossoverMonte Carlo methodMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeneral Physics and Astronomyfcc(100) surfaceFunction (mathematics)Monte Carlo simulationsadatomAlisland diffusionExponentDiffusion (business)Constant (mathematics)ScalingCuPhysical Review Letters
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Experimental and theoretical evidence of overcharging of calcium silicate hydrate

2007

International audience; Electrokinetic measurements such as electrophoresis may show an inversion of the effective surface charge of colloidal particle called overcharging. This phenomenon has been studied by various theoretical approaches but up to now very few attempts of confrontation between theory and experiment have been conducted. In this work we report electrophoretic measurements as well as Monte Carlo simulations of the electrokinetic potential for the surface of calcium silicate hydrate (Csingle bondSsingle bondH), which is the major constituent of hydrated cement. In the simulations, the surface charge of Csingle bondSsingle bondH nanoparticles in equilibrium with the ionic solu…

Surface PropertiesAnalytical chemistry02 engineering and technology010402 general chemistry01 natural sciencesBiomaterialsElectrokinetic phenomenachemistry.chemical_compoundColloid and Surface ChemistryZeta potentialElectrochemistrySurface chargeColloidsCalcium silicate hydrateParticle SizeMonte Carlo simulationRange (particle radiation)Physics::Biological PhysicsQuantitative Biology::BiomoleculesCalcium silicate hydrateSilicatesWaterZeta potentialCalcium Compounds021001 nanoscience & nanotechnologyElectrostatics0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic Materials[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]ElectrophoresisKineticschemistryModels ChemicalChemical physicsSurface charge titrationOverchargingCalcium silicateNanoparticles[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]0210 nano-technologyMonte Carlo Method
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