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Monte Carlo transport model

Ultra-fast Carrier Transport Simulation on the Grid. Quasi-Random Approach

Ultra-fast Carrier Transport Simulation on the Grid. Quasi-Random Approach

... of Monte Carlo algorithms for simulation of ultra-fast carrier transport in semiconductors together with simple Grid implementation, [3, ...physical model describes a femtosecond relaxation ...

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The Pennsylvania State University. The Graduate School. College of Engineering MONTE CARLO TRANSPORT CALCULATIONS AND ANALYSIS

The Pennsylvania State University. The Graduate School. College of Engineering MONTE CARLO TRANSPORT CALCULATIONS AND ANALYSIS

... MCNP model now being used has signicantly evolved over the course of this work, and while geometric splitting/Russian roulette is one of the easiest to use and most eective techniques in MCNP, it is not presently ...

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Optical photon transport in powdered-phosphor scintillators. Part II. Calculation of single-scattering transport parameters

Optical photon transport in powdered-phosphor scintillators. Part II. Calculation of single-scattering transport parameters

... A Monte Carlo model based on the BTE needs, as inputs, the transport parameters for scattering of an optical photon from a single ...BTE Monte Carlo: the scattering efficiency (Q ...

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FIFRELIN – TRIPOLI-4® coupling for Monte Carlo simulations with a fission model. Application to shielding calculations

FIFRELIN – TRIPOLI-4® coupling for Monte Carlo simulations with a fission model. Application to shielding calculations

... Monte Carlo transport code and FIFRELIN fission model have been coupled by means of external files so that neutron transport can take into account fission distributions (multiplicities ...

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Optical photon transport in powdered-phosphor scintillators. Part 1. Multiple-scattering and validity of the Boltzmann transport equation

Optical photon transport in powdered-phosphor scintillators. Part 1. Multiple-scattering and validity of the Boltzmann transport equation

... BTE Monte Carlo was approximately 50x faster on ...Swank’s model based on the diffusion equation agreed well with the BTE, except for non-turbid or “thin” screens (t << t c ...

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MCNP6 simulation of light and medium nuclei fragmentation at intermediate energies

MCNP6 simulation of light and medium nuclei fragmentation at intermediate energies

... Alamos Monte Carlo transport code MCNP6 [1] uses by default the latest version of the cascade-exciton model (CEM) as incorporated in its event generator ...string model (LAQGSM) as ...

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Multilevel and quasi Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media

Multilevel and quasi Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media

... Many of the existing variance reduction methods built upon pseudo-random sequences, e.g. MLMC, are focused on reducing the overall computational cost of a numerical simulation. QMC methods aim to accelerate the rate of ...

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Monte-Carlo Simulation of Neoclassical Transport in Magnetic Islands and Ergodic Regions

Monte-Carlo Simulation of Neoclassical Transport in Magnetic Islands and Ergodic Regions

... new transport simulation code without the assumption of nested flux sur- faces; the KEATS code [13, ...well-known Monte-Carlo particle simu- lation scheme based on the δ f method ...of ...

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Monte carlo interpretation of shielding benchmark experiment nesdip and analysis of endf/b vii 0, jeff 3 1 and jendl 4 iron and water cross sections

Monte carlo interpretation of shielding benchmark experiment nesdip and analysis of endf/b vii 0, jeff 3 1 and jendl 4 iron and water cross sections

... 3-D model of the benchmark studying established by the mean of the continuous energy Monte Carlo code MCNPX (Pelowitz, 2005), which allows simulating all types of interactions and using point-wise ...

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A computationally effcient moment-preserving Monte Carlo proton transport method in Geant4

A computationally effcient moment-preserving Monte Carlo proton transport method in Geant4

... hybrid model, (8) where discrete points and weights are applied over the small range corresponding to the peak of the DCS and the tail is captured exactly by the analog ...

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BioMOCA—a Boltzmann transport Monte Carlo model for ion channel simulation

BioMOCA—a Boltzmann transport Monte Carlo model for ion channel simulation

... groups. These force fields are the result of an extraordinary effort to choose atomic parameters that reproduce important macroscopic properties of amino acids and proteins [9]. There is not agreement, however, about ...

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MONTE-CARLO SIMULATION OF ROAD TRANSPORT EMISSION

MONTE-CARLO SIMULATION OF ROAD TRANSPORT EMISSION

... between model categories of methodological perspectives. The first category is the bottom-up sector analysis where the microscopic data are available (Johansson, 1995; Bellasio et al., 2007; Junevičius et al., ...

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Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign

Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign

... BioMOCA: A Transport Monte-Carlo Model for Ionic Channels.. Trudy van der Straaten Gulzar Kathawala.[r] ...

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Quasi Monte Carlo and multilevel Monte Carlo methods for computing posterior expectations in elliptic inverse problems

Quasi Monte Carlo and multilevel Monte Carlo methods for computing posterior expectations in elliptic inverse problems

... the model inverse problem of determining the distribution of the diffusion coefficient of a divergence form elliptic partial differential equation (PDE) from ob- servations of a finite set of noisy continuous ...

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Monte Carlo phonon transport simulations in hierarchically disordered silicon nanostructures

Monte Carlo phonon transport simulations in hierarchically disordered silicon nanostructures

... Boltzmann transport equation for phonons in disordered Si nanostructures using the Monte Carlo (MC) ...method. Monte Carlo, which can capture the details of geometry with relative ...

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Monte Carlo Simulations

Monte Carlo Simulations

... ^ĞƌǀŝĐĞĚĞZĞĐŚĞƌĐŚĞƐ ĚĞDĠƚĂůůƵƌŐŝĞ WŚLJƐŝƋƵĞ ^ĂĐůĂLJ. •[r] ...

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Monte Carlo methods

Monte Carlo methods

... If the prior is also invariant, then the posterior π inherits the same property. π has then as many redundant modes as there are permutations to which it is invariant, and this is undesirable when it comes to marginal ...

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Bayesian model comparison via sequential Monte Carlo

Bayesian model comparison via sequential Monte Carlo

... The reduction of Monte Carlo standard deviation varies among different config- urations. For moderate or larger number of distributions, a reduction about 50% was observed. In addition, it should be noted ...

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Monte Carlo study of a model of diffusion-controlled reactions

Monte Carlo study of a model of diffusion-controlled reactions

... In this paper we examine an altogether different ap- proach to the problem, based on the Monte Carlo method for performing statistical averages 10 : random configurations of nonoverlappi[r] ...

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Factors affecting predicted number of stress corrosion cracking tubes in stream generator

Factors affecting predicted number of stress corrosion cracking tubes in stream generator

... study, Monte Carlo simulations are performed to predict the number of detected cracks after ...initiation model, crack growth rate model and probability of detection ...

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