Results 41 to 50 of about 114,035 (266)

High Ener High Energy Appr gy Approximation for Monte Carlo E ximation for Monte Carlo Event gener ent generator

open access: yesEurasian Journal of Physics and Functional Materials
Analysis of the nuclear physics experiment often requires Monte Carlo simulation of the detector setup. Such kind of simulations often requires a quite advanced model of nuclear interaction.
A. N. Ismailova   +3 more
doaj   +1 more source

Quasi-Monte Carlo simulation of Brownian sheet with application to option pricing

open access: yesStatistical Theory and Related Fields, 2017
Monte Carlo and quasi-Monte Carlo methods are widely used in scientific studies. As quasi-Monte Carlo simulations have advantage over ordinary Monte Carlo methods, this paper proposes a new quasi-Monte Carlo method to simulate Brownian sheet via its ...
Xinyu Song, Yazhen Wang
doaj   +1 more source

Approach to ergodicity in Monte Carlo simulations

open access: yesPhysical Review E, 2000
17 Pages, 7 ...
Neirotti, J. P.   +2 more
openaire   +5 more sources

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

Spreadsheet Data Resampling for Monte-Carlo Simulation

open access: yesSpreadsheets in Education, 2008
The pervasiveness of spreadsheet software resulted in its increased application as a simulation tool for business analysis. Random values generation supporting such evaluations using spreadsheets are simple and yet powerful. However, the typical approach
Thin Yin Leong, Wee Leong Lee
doaj  

Monte Carlo simulation on transputer arrays

open access: yesParallel Computing, 1988
A Monte Carlo simulation of a simple two-dimensional spin system as representative of a range of theoretical physics problems, is arranged for parallel computation by a multi-processor (transputer) array. Two essentially different types of decomposition; ``geometric'' where each processor handles a small sector of the physical system, and ``algorithmic'
Pritchard, D J   +8 more
openaire   +4 more sources

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

PENGGUNAAN SIMULASI MONTE CARLO DALAM ESTIMASI VALUE AT RISK (VaR) PORTOFOLIO YANG DIBENTUK DARI INDEKS HARGA SAHAM MULTINASIONAL

open access: yesE-Jurnal Matematika, 2022
Investment is buying an asset that is expected in the future can be resold and get a high profit value. There are two factors that must be considered when you want to invest in stocks, namely the rate of return on stocks and risk factors.
NABILA NUR JANNAH   +2 more
doaj   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

open access: yesAdvanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič   +7 more
wiley   +1 more source

Monte Carlo simulation of grain growth

open access: yesMaterials Research, 1999
Understanding and predicting grain growth in Metallurgy is meaningful. Monte Carlo methods have been used in computer simulations in many different fields of knowledge. Grain growth simulation using this method is especially attractive as the statistical
Paulo Blikstein   +1 more
doaj   +1 more source

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