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The neural network approach can provide an accurate, efficient, and stable inversion method for radiative transfer models using directional/spectral data from modern-borne sensors.

The Monte-Carlo method is often presented as a reference method for radiative transfer simulation when dealing with participating, inhomogeneous media.

A statistical (Monte Carlo) method for radiative heat transfer has been incorporated in CFD modeling of buoyant turbulent diffusion flames in stagnant air and in a cross-wind.

In this paper a moment method for radiative transfer equations is considered which has been developed and investigated using different approaches.

A comprehensive mathematical model was developed with CFD technique based on the following knowledge: (1) basic transport equations of hydrodynamics, (2) k ɛ turbulence model, (3) cracking reaction kinetic model developed by Wang, (4) presumed probability-density-function model for turbulent diffusion combustion, and (5) discrete ordinates method for radiative heat transfer.

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All calculations are approached in such a way as to make them totally compatible with standard engineering methods for radiative heat transfer, namely the discrete ordinates method.

Although Monte Carlo simulation usually does not require the discretizations found in deterministic transport techniques, Monte Carlo methods for radiative transfer require a time discretization due to the nonlinearities of the problem.

In particular, the numerical model was implemented by means of a commercial finite element code and fully coupled thermal electric analyses were performed with a proper solution method for the radiative heat transfer problem.

The application of flux limiters to the discrete ordinates method (DOM), SN, for radiative transfer calculations is discussed and analyzed for 3D enclosures for cases in which the intensities are strongly coupled to each other such as: radiative equilibrium and scattering media.

As no method is available for radiative cooling in this temperature regime, we produced the sharp temperature drop with a pulsed cryo stream using N2 at 100 K.

In this paper, we present a numerical method for solving the radiative transfer equation that models electromagnetic wave propagation in a constant background, plane-parallel medium containing randomly distributed, identically sized, dielectric spheres.

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