Search results for "Monte Carlo."

showing 10 items of 1571 documents

Monte Carlo Simulation of Spin Relaxation of Conduction Electrons in Silicon

2014

Recently, electrical injection of spin polarization in n-type and p-type silicon up to room-temperature has been experimental- ly carried out. Despite of these promising experimental results, a comprehensive theoretical framework concerning the influence of transport conditions on the 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 this contribution we use a semiclassical multiparti- cle Monte Carlo approach to simulate the electron transport and spin dynamics in lightly doped n-type Si crystals and numerically calculate the spin lifetimes of drifting electr…

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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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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Coarse-Graining Intermolecular Interactions in Dispersions of Highly Charged Colloids

2012

International audience; Effective pair potentials between charged colloids, obtained from Monte Carlo simulations of two single colloids in a closed cell at the primitive model level, are shown to reproduce accurately the structure of aqueous salt-free colloidal dispersions, as determined from full primitive model simulations by Linse et al. (Linse, P.; Lobaskin, V. Electrostatic Attraction and Phase Separation in Solutions of Like-Charged Colloidal Particles. Phys. Rev. Lett.1999, 83, 4208). Excellent agreement is obtained even when ion-ion correlations are important and is in principle not limited to spherical particles, providing a potential route to coarse-grained colloidal interactions…

endocrine systemMonte Carlo method02 engineering and technology01 natural sciencescomplex mixturesColloid0103 physical sciencesElectrochemistryGeneral Materials ScienceStatistical physicsSpectroscopyAqueous solution010304 chemical physicsChemistryIntermolecular forcedigestive oral and skin physiologySurface Chemistry and ColloidsSurfaces and Interfaces021001 nanoscience & nanotechnologyCondensed Matter PhysicsCharged particleCondensed Matter::Soft Condensed Matter[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Chemical physicsGranularity[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]0210 nano-technologyDispersion (chemistry)Pair potential
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The Large Hadron–Electron Collider at the HL-LHC

2021

The Large Hadron-Electron Collider (LHeC) is designed to move the field of deep inelastic scattering (DIS) to the energy and intensity frontier of particle physics. Exploiting energy-recovery technology, it collides a novel, intense electron beam with a proton or ion beam from the High-Luminosity Large Hadron Collider (HL-LHC). The accelerator and interaction region are designed for concurrent electron-proton and proton-proton operations. This report represents an update to the LHeC's conceptual design report (CDR), published in 2012. It comprises new results on the parton structure of the proton and heavier nuclei, QCD dynamics, and electroweak and top-quark physics. It is shown how the LH…

energy recoverylepton nucleus: scatteringparton: distribution functionhiukkasfysiikka7. Clean energy01 natural sciencesaccelerator physicsHigh Energy Physics - Phenomenology (hep-ph)HEAVY FLAVOR CONTRIBUTIONSenergy-recovery- linacNuclear Experimentcolliding beams [electron p]deep-inelastic scatteringtop and electroweak physicsnew physicsPhysicsSTRUCTURE-FUNCTION RATIOSMonte Carlo [numerical calculations]buildingsprimary [vertex]High Energy Physics - Phenomenologyelectron p: colliding beamskinematicsNuclear Physics - Theoryfinal state: hadronicp: distribution functionbeyond Standard Modelvertex: primarynumerical calculations: Monte Carlodistribution function [parton]High-lumiLHCSTRUCTURE-FUNCTION F-2(X[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]ion: beam[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencesNuclear Theory (nucl-th)deep inelastic scatteringquantum chromodynamicsddc:530010306 general physicsdeep-inelastic scattering; high-lumi LHC; QCD; Higgs; top and electroweak physics; nuclear physics; beyond standard Model; energy-recovery- linac; accelerator physics010308 nuclear & particles physicshigh-lumi LHCresolutionscattering [electron p]structure function [nucleus]sensitivitybeam [electron]energy-recovery-linacHiggsacceptanceNuclear TheoryHIGH-ENERGY FACTORIZATIONdistribution function [p]density [parton]Higgs; High-lumi LHCHigh Energy Physics - Experimentdesign [detector]High Energy Physics - Experiment (hep-ex)electron: linear acceleratorelectron hadron: scatteringCERN LHC Coll: upgrade[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [electron hadron]FCCelectron: beamNuclear Experiment (nucl-ex)linear accelerator [electron]Nuclear ExperimentlatticesuperconductivityEnergy-recoverylinacBeyond Standard ModeNuclear physics; QCDelectron nucleus: colliding beamsparton: densitycolliding beams [electron nucleus]Particle Physics - ExperimentNUCLEON STRUCTURE FUNCTIONSNuclear and High Energy Physicsscattering [lepton nucleus]beam [ion]FOS: Physical sciencesnucleus: structure functionhadronic [final state]electron p: scatteringTRANSVERSE-MOMENTUM DEPENDENCEnuclear physics0103 physical sciencesNuclear Physics - Experimentstructureupgrade [CERN LHC Coll]detector: designParticle Physics - PhenomenologyDEEP-INELASTIC-SCATTERINGelectroweak interaction3-LOOP SPLITTING FUNCTIONSCLASSICAL RADIATION ZEROScalibrationAccelerators and Storage RingsQCDmagnethigh [current]13. Climate action[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]LHeCPhysics::Accelerator PhysicsJET CROSS-SECTIONSHigh Energy Physics::Experimentcurrent: highJournal of Physics G: Nuclear and Particle Physics
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Remarks on strange-quark simulations with Wilson fermions

2020

Physical review / D 102(7), 074506 (1-10) (2020). doi:10.1103/PhysRevD.102.074506

fermion: WilsonStrange quarkParticle physicsWilson [fermion]High Energy Physics::Latticefermion: determinantdeterminant [fermion]FOS: Physical sciencesLattice QCD12.38.GcComputer Science::Digital Libraries01 natural sciences5303 [flavor]High Energy Physics - Lattice0103 physical sciencesquantum chromodynamicsflavor: 3ddc:530010306 general physicsMonte CarloMonte Carlo algorithmsQuantum chromodynamicsPhysicsCondensed Matter::Quantum Gases010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyHigh Energy Physics - Lattice (hep-lat)lattice field theoryFermionLattice field theories lattice QCDHigh Energy Physics::Experiment
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Characterizing Cavities in Model Inclusion Fullerenes: A Comparative Study

2001

Abstract: The fullerene-82 cavity is selected as a model system in order to test several methods for characterizing inclusion molecules. The methods are based on different technical foundations such as a square and triangular tessellation of the molecular surface, spherical tessellation of the molecular surface, numerical integration of the atomic volumes and surfaces, triangular tessellation of the molecular surface, and cubic lattice approach to the molecular volume. Accurate measures of the molecular volume and surface area have been performed with the pseudorandom Monte Carlo (MCVS) and uniform Monte Carlo (UMCVS) methods. These calculations serve as a reference for the rest of the meth…

fractal dimensionSurface (mathematics)Materials scienceMonte Carlo methodmolecular cavitypartition coefficientFractal dimensionCatalysisStandard deviationSquare (algebra)lcsh:ChemistryInorganic ChemistryComputational chemistryLattice (order)topological indexgeometric descriptorPhysical and Theoretical Chemistrylcsh:QH301-705.5Molecular BiologySpectroscopyPseudorandom number generatorTessellationOrganic ChemistryGeneral MedicineTriangular tilingComputer Science ApplicationsNumerical integrationComputational physicslcsh:Biology (General)lcsh:QD1-999Topological indexProceedings of The 4th International Electronic Conference on Synthetic Organic Chemistry
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B–T phase diagram of Pd/Fe/Ir(111) computed with parallel tempering Monte Carlo

2017

We use an atomistic spin model derived from density functional theory calculations for the ultra-thin film Pd/Fe/Ir(111) to show that temperature induces coexisting non-zero skyrmion and antiskyrmion densities. We apply the parallel tempering Monte Carlo method in order to reliably compute thermodynamical quantities and the B-T phase diagram in the presence of frustrated exchange interactions. We evaluate the critical temperatures using the topological susceptibility. We show that the critical temperatures depend on the magnetic field in contrast to previous work. In total, we identify five phases: spin spiral, skyrmion lattice, ferromagnetic phase, intermediate region with finite topologic…

frustration of magnetic exchangemagnetic skyrmionsMonte Carlo methodthermodynamic studyFOS: Physical sciencesGeneral Physics and Astronomy02 engineering and technology53001 natural sciences7. Clean energyMonte Carlo simulationsPhase (matter)0103 physical sciencesSpin model010306 general physicsTopological quantum numberPhase diagramPhysicsCondensed Matter - Materials ScienceCondensed matter physicsSkyrmionMaterials Science (cond-mat.mtrl-sci)021001 nanoscience & nanotechnologyCondensed Matter::Strongly Correlated ElectronsDensity functional theoryParallel tempering0210 nano-technologyNew Journal of Physics
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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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Geometric Brownian Motion (GBM) of Stock Indexes and Financial Market Uncertainty in the Context of Non-Crisis and Financial Crisis Scenarios

2022

The present article proposes a methodology for modeling the evolution of stock market indexes for 2020 using geometric Brownian motion (GBM), but in which drift and diffusion are determined considering two states of economic conjunctures (states of the economy), i.e., non-crisis and financial crisis. Based on this approach, we have found that the GBM proved to be a suitable model for making forecasts of stock market index values, as it describes quite well their future evolution. However, the model proposed by us, modified geometric Brownian motion (mGBM), brings some contributions that better describe the future evolution of stock indexes. Evidence in this regard was provided by analyzing …

geometric Brownian motion; Monte Carlo simulation; entropy; financial crisis; financial marketsGeneral Mathematicsfinancial crisisComputer Science (miscellaneous)QA1-939geometric Brownian motionfinancial marketsentropyEngineering (miscellaneous)Monte Carlo simulationMathematicsMathematics
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Microbial succession of nitrate-reducing bacteria in the rhizosphere of Poa alpina across a glacier foreland in the Central Alps

2006

International audience; Changes in community structure and activity of the dissimilatory nitrate-reducing community were investigated across a glacier foreland in the Central Alps to gain insight into the successional pattern of this functional group and the driving environmental factors. Bulk soil and rhizosphere soil of Poa alpina was sampled in five replicates in August during the flowering stage and in September after the first snowfalls along a gradient from 25 to 129 years after deglaciation and at a reference site outside the glacier foreland (> 2000 years deglaciated). In a laboratory-based assay, nitrate reductase activity was determined colorimetrically after 24 h of anaerobic inc…

glacierTime FactorsMolecular Sequence DataBulk soilEcological successionNitrate reductaseNitrate ReductasePlant RootsMicrobiologydiversitysoil03 medical and health scienceschemistry.chemical_compoundNitrateGermanyBotanyIce Coverpâturin des alpesGlacier forelandPoaEcosystemPhylogenySoil MicrobiologyEcology Evolution Behavior and SystematicsPoa alpina030304 developmental biology0303 health sciencesRhizosphereBacteriabiology030306 microbiologyDiscriminant AnalysisGenetic Variation15. Life on landbiology.organism_classificationmolecular anlysispoa alpina[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitologychemistrycommunity structureMonte Carlo MethodSoil microbiologyPolymorphism Restriction Fragment LengthEnvironmental Microbiology
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