In this note we develop a robust implicit Monte Carlo (IMC) algorithm based on more accurately updating the linearized equilibrium radiation energy density. The method does not introduce oscillations in the solution and has the same limit as {Delta}t{yields}{infinity} as the standard Fleck and Cummings IMC method. Moreover, the approach we introduce can be trivially added to current implementations of IMC by changing the definition of the Fleck factor. Using this new method we develop an adaptive scheme that uses either standard IMC or the modified method basing the adaptation on a zero-dimensional problem solved in each cell. Numerical results demonstrate that the new method alleviates both the nonphysical overheating that occurs in standa...
The Monte Carlo (MC) method is the most accurate method for resolving radiative heat transfer in par...
We describe a Monte Carlo solution for time dependent photon transport, in the difference formulatio...
International audienceWe address the interest of using Symbolic Monte Carlo to obtain a reduced mode...
We describe a modification of the treatment of photon sources in the IMC algorithm. We describe this...
The Implicit Monte Carlo (IMC) method has been used for over 30 years to analyze radiative transfer ...
During the past 35 years, the Implicit Monte Carlo (IMC) method proposed by Fleck and Cummings has b...
International audienceIn this paper, we present a new implicit Monte-Carlo scheme for photonics. The...
The thermal radiative transfer equations are extremely complex to solve; however, accurate solutions...
Five Monte Carlo methods for solving the nonlinear thermal radiation transport equations are compare...
The Implicit Monte Carlo (IMC) method is widely used for simulating thermal radiative transfer and s...
In this summary we review the complementary research being undertaken at AWE and LLNL aimed at devel...
A modified Monte Carlo method is suggested to reduce the computing time and improve the convergent s...
The Implicit Monte Carlo (IMC) method has been a standard method for thermal radiative transfer for ...
The Monte Carlo method is a powerful tool for performing radiative equilibrium calculations, even in...
Algorithms for the solution of the radiative transfer equation that are simultaneously acc...
The Monte Carlo (MC) method is the most accurate method for resolving radiative heat transfer in par...
We describe a Monte Carlo solution for time dependent photon transport, in the difference formulatio...
International audienceWe address the interest of using Symbolic Monte Carlo to obtain a reduced mode...
We describe a modification of the treatment of photon sources in the IMC algorithm. We describe this...
The Implicit Monte Carlo (IMC) method has been used for over 30 years to analyze radiative transfer ...
During the past 35 years, the Implicit Monte Carlo (IMC) method proposed by Fleck and Cummings has b...
International audienceIn this paper, we present a new implicit Monte-Carlo scheme for photonics. The...
The thermal radiative transfer equations are extremely complex to solve; however, accurate solutions...
Five Monte Carlo methods for solving the nonlinear thermal radiation transport equations are compare...
The Implicit Monte Carlo (IMC) method is widely used for simulating thermal radiative transfer and s...
In this summary we review the complementary research being undertaken at AWE and LLNL aimed at devel...
A modified Monte Carlo method is suggested to reduce the computing time and improve the convergent s...
The Implicit Monte Carlo (IMC) method has been a standard method for thermal radiative transfer for ...
The Monte Carlo method is a powerful tool for performing radiative equilibrium calculations, even in...
Algorithms for the solution of the radiative transfer equation that are simultaneously acc...
The Monte Carlo (MC) method is the most accurate method for resolving radiative heat transfer in par...
We describe a Monte Carlo solution for time dependent photon transport, in the difference formulatio...
International audienceWe address the interest of using Symbolic Monte Carlo to obtain a reduced mode...