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Further, an extensive simulation of effective doping density as well as electric field profile is carried out at different temperatures for various fluences.
Nowadays, a great number of studies have been carried out on the simulation of effective case depth, but no studies have been conducted to determine the numerical relation between the total case depth on one hand and the carburizing time and the effective case depth on the other hand.
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With the rapid development of high performance parallel computers and the increasing demands of large-scale reservoir simulation, the development of effective and fast solvers and preconditioners for parallel reservoir simulation has become increasingly important.
Model simulations enable prediction of effective drug combinations for preclinical validation.
The analysis involves Monte Carlo simulations of the effective geometry factor, studies of various efficiencies, and corrections for the ionization energy loss, attenuation and atmospheric secondaries.
The method is capable of providing high resolution for arbitrary conductivity ratio γ = λ′/λe and enabling large scale simulations of the effective conductivity of highly concentrated dispersions with various microstructures even on a small computer.
In the SIMIND code, which is specifically designed for effective simulation of gamma camera images, several effective variance reduction techniques for photon transport have been implemented, and the code has been verified in several studies [1].
The results justify the superiority of the optimal MLP networks over the other considered models in simulation of the experimental effective TCs of dry and oil saturated sandstones.
In this paper, analytical modeling and numerical simulation of the complex effective dielectric, magnetic constants and refractive index of a metallic rod metamaterial in microwave frequency range are presented.
This paper discusses the difficulties and requirements of effective simulation models for this specialized industrial application; and the development of a general-purpose multi-train simulator.
In addition, a number of effective simulation methods have been proposed to reduce the huge computing load of the DSSA [ 23][ 24][ 25][ 26].
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