Efficient decomposition and performance of parallel PDE, FFT, Monte Carlo simulations, simplex, and Sparse solvers

1991 ◽  
Vol 5 (2-3) ◽  
pp. 219-238 ◽  
Author(s):  
Zarka Cvetanovic ◽  
Edward G. Freedman ◽  
Charles Nofsinger
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
And Performance

Quantifying the relation between the morphology and performance of polymer solar cells using Monte Carlo simulations

2008 ◽  
Vol 104 (2) ◽  
pp. 024504 ◽  
Author(s):  
Bao Lei ◽  
Yan Yao ◽  
Ankit Kumar ◽  
Yang Yang ◽  
Vidvuds Ozolins
Keyword(s):  
Monte Carlo ◽  
Solar Cells ◽  
Monte Carlo Simulations ◽  
Polymer Solar Cells ◽  
And Performance

Risk Monitoring During Design and Development of Aircraft Engines Using Monte Carlo Simulations and Performance Model

2009 ◽  
Author(s):  
Hassan Abdullahi ◽  
Klaus-Juergen Schmidt
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
New Technologies ◽  
Engine Performance ◽  
Performance Model ◽  
Design And Development ◽  
Risk Monitoring ◽  
Engine Design ◽  
And Performance ◽  
Time Frames

The process of engine design and development is very complex since it comprises various disciplines with their own sub-processes. In addition, the requirements the new generation of engines has to meet become more and more ambitious, which calls for the employment of new technologies. But this involves a very high risk with regard to fulfilling specification requirements, and also with regard to adherence to budgets as well as time frames. In this paper, an approach of risk monitoring during the engine design and development phase is presented. The approach uses Monte-Carlo simulations, which are based on an engine performance synthesis model. For the purpose, a helicopter engine is used as an example for demonstration of the method.

Low-voltage EDS of magnesium ferrite Dendrites in a FEG-SEM

1996 ◽  
Vol 54 ◽  
pp. 478-479
Author(s):  
Matthew T. Johnson ◽  
Ian M. Anderson ◽  
Jim Bentley ◽  
C. Barry Carter
Keyword(s):  
Monte Carlo ◽  
Quantitative Analysis ◽  
Monte Carlo Simulations ◽  
Cross Section ◽  
Spatial Resolution ◽  
Low Voltage ◽  
Magnesium Ferrite ◽  
X Ray ◽  
Interaction Volume ◽  
Ferrite Spinel

Energy-dispersive X-ray spectrometry (EDS) performed at low (≤ 5 kV) accelerating voltages in the SEM has the potential for providing quantitative microanalytical information with a spatial resolution of ∼100 nm. In the present work, EDS analyses were performed on magnesium ferrite spinel [(MgxFe1−x)Fe2O4] dendrites embedded in a MgO matrix, as shown in Fig. 1. spatial resolution of X-ray microanalysis at conventional accelerating voltages is insufficient for the quantitative analysis of these dendrites, which have widths of the order of a few hundred nanometers, without deconvolution of contributions from the MgO matrix. However, Monte Carlo simulations indicate that the interaction volume for MgFe2O4 is ∼150 nm at 3 kV accelerating voltage and therefore sufficient to analyze the dendrites without matrix contributions.Single-crystal {001}-oriented MgO was reacted with hematite (Fe2O3) powder for 6 h at 1450°C in air and furnace cooled. The specimen was then cleaved to expose a clean cross-section suitable for microanalysis.

MONTE CARLO SIMULATIONS OF ELECTRON DRIFT VELOCITIES IN THE NOBLE GASES AND THEIR MIXTURES

1979 ◽  
Vol 40 (C7) ◽  
pp. C7-63-C7-64
Author(s):  
A. J. Davies ◽  
J. Dutton ◽  
C. J. Evans ◽  
A. Goodings ◽  
P.K. Stewart
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Noble Gases ◽  
Electron Drift
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