In this paper, we review the recent developed method based around lattice-based random walks and the Monte Carlo method. This method, which is now called the Lattice Monte Carlo method, permits complex phenomenological problems in diffusion, thermal conductivity and elasticity to be addressed. It is shown how the effective mass diffusivity, thermal diffusivity/thermal conductivity and the bulk modulus in composites can be calculated and also how concentration profiles and temperature profiles can be determined in situations where the diffusivity depends on position and concentration and the thermal conductivity depends on position and temperature respectively
In recent years, studies of diffusion in random media have been extended to include the effects of m...
In this paper we perform a systematic Monte Carlo study of the effective diffusivity in a 2D composi...
This work addresses the effective thermal conductivity of cellular metals. Analytical relations for ...
In this overview, we introduce the recently developed Lattice Monte Carlo method for addressing and ...
In this review paper, we introduce the recently developed Lattice Monte Carlo method for addressing...
Ever since its development during World War II as part of the Manhattan Project, the Monte Carlo met...
This Chapter addresses the numerical simulation of thermal diffusion in multi-phase materials. A Lat...
The Lattice Monte Carlo (LMC) method recently developed by the authors is an unusually powerful and ...
This paper addresses the use of the Lattice Monte Carlo method for the thermal characterization of c...
In this paper, the Finite Element and lattice Monte Carlo methods are used to calculate the effectiv...
A correct strategy for evaluation of the effective thermal diffusivity, and, similarly, for the eval...
The Lattice Monte Carlo method is a computationally intensive approach towards the study of thermal ...
The effective thermal conductivity of composite materials with thermal contact resistance at interfa...
Here, we present a review of recent developments for an off-lattice Monte Carlo approach used to inv...
Lattice Monte Carlo methods are an excellent choice for the simulation of non-linear thermal diffusi...
In recent years, studies of diffusion in random media have been extended to include the effects of m...
In this paper we perform a systematic Monte Carlo study of the effective diffusivity in a 2D composi...
This work addresses the effective thermal conductivity of cellular metals. Analytical relations for ...
In this overview, we introduce the recently developed Lattice Monte Carlo method for addressing and ...
In this review paper, we introduce the recently developed Lattice Monte Carlo method for addressing...
Ever since its development during World War II as part of the Manhattan Project, the Monte Carlo met...
This Chapter addresses the numerical simulation of thermal diffusion in multi-phase materials. A Lat...
The Lattice Monte Carlo (LMC) method recently developed by the authors is an unusually powerful and ...
This paper addresses the use of the Lattice Monte Carlo method for the thermal characterization of c...
In this paper, the Finite Element and lattice Monte Carlo methods are used to calculate the effectiv...
A correct strategy for evaluation of the effective thermal diffusivity, and, similarly, for the eval...
The Lattice Monte Carlo method is a computationally intensive approach towards the study of thermal ...
The effective thermal conductivity of composite materials with thermal contact resistance at interfa...
Here, we present a review of recent developments for an off-lattice Monte Carlo approach used to inv...
Lattice Monte Carlo methods are an excellent choice for the simulation of non-linear thermal diffusi...
In recent years, studies of diffusion in random media have been extended to include the effects of m...
In this paper we perform a systematic Monte Carlo study of the effective diffusivity in a 2D composi...
This work addresses the effective thermal conductivity of cellular metals. Analytical relations for ...