Search results for " simulation"

showing 10 items of 4034 documents

Simulations on time-of-flight ERDA spectrometer performance

2016

The performance of a time-of-flight spectrometer consisting of two timing detectors and an ionization chamber energy detector has been studied using Monte Carlo simulations for the recoil creation and ion transport in the sample and detectors. The ionization chamber pulses have been calculated using Shockley-Ramo theorem and the pulse processing of a digitizing data acquisition setup has been modeled. Complete time-of-flight–energy histograms were simulated under realistic experimental conditions. The simulations were used to study instrumentation related effects in coincidence timing and position sensitivity, such as background in time-of-flight–energy histograms. Corresponding measurement…

010302 applied physicsPhysicsta114SpectrometerPhysics::Instrumentation and Detectorsbusiness.industryInstrumentationMonte Carlo methodDetector7. Clean energy01 natural sciencesMonte Carlo simulationsNuclear physicsTime of flightRecoilOpticsData acquisitiontime-of-flight spectrometers0103 physical sciencesIonization chambersimulations010306 general physicsbusinessInstrumentationReview of Scientific Instruments
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THE GYROTRON STARTUP SCENARIO IN THE SINGLE MODE TIME DEPENDENT APPROACH

2019

The paper explains how to solve the Gyrotron equation system in the Single Mode Time Dependent Approach. In particular, we point out problems encountered when solving these well-known equations. The starting current estimation approach a using time model is suggested. The solution has been implemented in the Matlab code, which is attached to the article.

010302 applied physicsPhysicstime dependent approachgyrotronNuclear engineeringSingle-mode optical fiberMatlab code01 natural sciences010305 fluids & plasmaslaw.inventiondifferential equationlawModeling and SimulationGyrotron0103 physical sciencesQA1-939MathematicsAnalysisMathematical Modelling and Analysis
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Space‐vector state dynamic model of SynRM considering self‐ and cross‐saturation and related parameter identification

2020

This study proposes a state formulation of the space-vector dynamic model of the Synchronous Reluctance Motor (SynRM) considering both saturation and cross-saturation effects. The proposed model adopts the stator currents as state variables and has been theoretically developed in both the rotor and stator reference frames. The proposed magnetic model is based on a flux versus current approach and relies on the knowledge of 11 parameters. Starting from the definition of a suitable co-energy variation function, new flux versus current functions have been initially developed, based on the hyperbolic functions and, consequently, the static and dynamic inductance versus current functions have be…

010302 applied physicsState variableComputer simulationComputer scienceStatorEstimation theoryRotor (electric)020208 electrical & electronic engineeringHyperbolic function02 engineering and technology01 natural scienceslaw.inventionInductanceError functionSettore ING-INF/04 - AutomaticaControl theorylaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringSynchronous Reluctance Motor (SynRM) Space-vector dynamic model Parameter estimation Magnetic characteristicsElectrical and Electronic EngineeringIET Electric Power Applications
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The ensemble switch method and related approaches to obtain interfacial free energies between coexisting phases from simulations: a brief review

2015

The accurate estimation of the excess free energy due to an interface between coexisting phases of a model system by computer simulation often is a challenging task. We review here two methods, whi...

010304 chemical physicsChemistryAccurate estimationGeneral Chemical EngineeringMonte Carlo methodModel systemGeneral ChemistryCondensed Matter Physics01 natural sciencesSurface tensionModeling and Simulation0103 physical sciencesGeneral Materials ScienceFree energiesStatistical physics010306 general physicsInformation SystemsMolecular Simulation
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MD Simulation Investigation on the Binding Process of Smoke-Derived Germination Stimulants to Its Receptor

2019

Karrikins (KARs) are a class of smoke-derived seed germination stimulants with great significance in both agriculture and plant biology. By means of direct binding to the receptor protein KAI2, the compounds can initiate the KAR signal transduction pathway, hence triggering germination of the dormant seeds in the soil. In the research, several molecular dynamics (MD) simulation techniques were properly integrated to investigate the binding process of KAR1 to KAI2 and reveal the details of the whole binding event. The calculated binding free energy, -7.00 kcal/mol, is in good agreement with the experimental measurement, -6.83 kcal/mol. The obtained PMF profile indicates the existence of thre…

010304 chemical physicsProtein ConformationChemistryGeneral Chemical EngineeringGerminationGeneral ChemistryPlasma protein bindingMolecular Dynamics SimulationLibrary and Information SciencesLigand (biochemistry)01 natural sciences0104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistryMolecular dynamicsProtein structure0103 physical sciencesMoleBiophysicsThermodynamicsMoleculeSignal transductionReceptorPlant ProteinsProtein BindingJournal of Chemical Information and Modeling
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Computational Study of the Effect of Glyoxal–Sulfate Clustering on the Henry’s Law Coefficient of Glyoxal

2014

We have used quantum chemical methods to investigate the molecular mechanism behind the recently reported ( Kampf , C. J. ; Environ. Sci. Technol . 2013 , 47 , 4236 - 4244 ) strong dependence of the Henry's law coefficient of glyoxal (C2O2H2) on the sulfate concentration of the aqueous phase. Although the glyoxal molecule interacts only weakly with sulfate, its hydrated forms (C2O3H4 and C2O4H6) form strong complexes with sulfate, displacing water molecules from the solvation shell and increasing the uptake of glyoxal into sulfate-containing aqueous solutions, including sulfate-containing aerosol particles. This promotes the participation of glyoxal in reactions leading to secondary organic…

010504 meteorology & atmospheric sciences010501 environmental sciences01 natural scienceschemistry.chemical_compoundComputational chemistryPressureMoleculeOrganic chemistryComputer SimulationPhysical and Theoretical ChemistrySulfateEquilibrium constant0105 earth and related environmental sciencesAerosolsAqueous solutionAtmosphereSulfatesAqueous two-phase systemWaterGlyoxalHenry's lawSolvation shellModels ChemicalchemistrySolventsGlyoxalThe Journal of Physical Chemistry A
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Application of entropic approach to estimate the mean flow velocity and Manning roughness coefficient in a high-curvature flume

2016

The entropy-based approach allows the estimation of the mean flow velocity in open channel flow by using the maximum flow velocity. The linear relationship between the mean velocity, umax, and the mean flow velocity, um, through the dimensionless parameter Φ(M), has been verified both in natural rivers and in laboratory channels. Recently, the authors of this study investigated the reliability of the entropy-based formula in a straight channel and under different bed and side-walls' roughness conditions. The present study aims to further validate the entropy-based approach and to explore the effectiveness of entropy-based formula in high curvature channels. Results show that as the effect o…

010504 meteorology & atmospheric sciencesChézy formulaAdvection0208 environmental biotechnologyMaximum flow problemMathematical analysis02 engineering and technologyCurvature01 natural sciencesSettore ICAR/01 - Idraulica020801 environmental engineeringOpen-channel flowRivers monitoring simulation discharge entropy experimentsFlumeStatisticsEntropy (information theory)0105 earth and related environmental sciencesWater Science and TechnologyMathematicsDimensionless quantityHydrology Research
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Controlled time integration for the numerical simulation of meteor radar reflections

2016

We model meteoroids entering the Earth[U+05F3]s atmosphere as objects surrounded by non-magnetized plasma, and consider efficient numerical simulation of radar reflections from meteors in the time domain. Instead of the widely used finite difference time domain method (FDTD), we use more generalized finite differences by applying the discrete exterior calculus (DEC) and non-uniform leapfrog-style time discretization. The computational domain is presented by convex polyhedral elements. The convergence of the time integration is accelerated by the exact controllability method. The numerical experiments show that our code is efficiently parallelized. The DEC approach is compared to the volume …

010504 meteorology & atmospheric sciencesComputer scienceMETEORPLASMATIC OBJECTSRADAR REFLECTIONS01 natural sciencesplasmatic objectslaw.inventionINTEGRAL EQUATIONSlawRadar010303 astronomy & astrophysicsSpectroscopyEARTH ATMOSPHEREvolume integral equationRadiationPLASMANUMERICAL MODELSMathematical analysisFinite differenceNUMERICAL METHODMETEORSAtomic and Molecular Physics and OpticsCALCULATIONSControllabilityDISCRETE EXTERIOR CALCULUSAstrophysics::Earth and Planetary AstrophysicsMAGNETOPLASMADiscretizationRADAR REFLECTIONTIME DOMAIN ANALYSISVOLUME INTEGRAL EQUATIONdiscrete exterior calculusELECTROMAGNETIC SCATTERINGOpticsFINITE DIFFERENCE TIME DOMAIN METHOD0103 physical sciencesSCATTERINGTime domainmeteorsNUMERICAL METHODS0105 earth and related environmental sciencesta113ta114Computer simulationbusiness.industryta111Finite-difference time-domain methodRADARDiscrete exterior calculuselectromagnetic scatteringradar reflectionsELECTROMAGNETIC METHODmeteoritbusinessJournal of Quantitative Spectroscopy and Radiative Transfer
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Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters

2020

International audience; In the humanitarian response, multiple decision-makers (DMs) need to collaborate in various problems, such as locating temporary relief distribution centres (RDCs). Several studies have argued that maximising demand coverage, reducing logistics costs and minimising response time are among the critical objectives when locating RDCs after a sudden-onset disaster. However, these objectives are often conflicting and the trade-offs can considerably complicate the situation for finding a consensus.To address the challenge and support the DMs, we suggest investigating the stability of non-dominated alternatives derived from a multi-objective model based on Monte Carlo Simul…

010504 meteorology & atmospheric sciencesComputer sciencemedicine.medical_treatment0211 other engineering and technologiesStability (learning theory)Distribution (economics)02 engineering and technology01 natural sciencesHumanitarian responseNATURAL DISASTERSupport groupINFORMATION-MANAGEMENT[SPI]Engineering Sciences [physics]NETWORK DESIGNGroup decision-making2015 Nepal earthquakemedicineOPTIMIZATIONVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Monte Carlo simulation0105 earth and related environmental sciences021110 strategic defence & security studiesCOORDINATIONCOMPLEXDISTRIBUTION MODELbusiness.industrySTOCHASTIC-MODELHumanitarian responseGeologyGeotechnical Engineering and Engineering GeologyRisk analysis (engineering)Multiobjective facility locationPARETO SETbusinessSafety ResearchHUMANITARIAN LOGISTICSSudden onsetInternational Journal of Disaster Risk Reduction
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Stochastic Galerkin method for cloud simulation

2018

AbstractWe develop a stochastic Galerkin method for a coupled Navier-Stokes-cloud system that models dynamics of warm clouds. Our goal is to explicitly describe the evolution of uncertainties that arise due to unknown input data, such as model parameters and initial or boundary conditions. The developed stochastic Galerkin method combines the space-time approximation obtained by a suitable finite volume method with a spectral-type approximation based on the generalized polynomial chaos expansion in the stochastic space. The resulting numerical scheme yields a second-order accurate approximation in both space and time and exponential convergence in the stochastic space. Our numerical results…

010504 meteorology & atmospheric sciencesComputer scienceuncertainty quantificationQC1-999cloud dynamicsFOS: Physical sciencesCloud simulation65m15010103 numerical & computational mathematics01 natural sciencespattern formationMeteorology. ClimatologyFOS: MathematicsApplied mathematicsMathematics - Numerical Analysis0101 mathematicsStochastic galerkin0105 earth and related environmental sciencesnavier-stokes equationsPhysics65m2565l05Numerical Analysis (math.NA)65m06Computational Physics (physics.comp-ph)stochastic galerkin method35l4535l65finite volume schemesQC851-999Physics - Computational Physicsimex time discretization
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