 A recent study has demonstrated that radiation, conduction, and convection can all be combined into a single Monte Carlo algorithm, which takes advantage of advanced graphics capabilities when dealing with complex geometries. This algorithm is based on the Feynman-KAC theory and stochastic processes, and it allows for the probabilization of the coupled model. Additionally, it provides a new approach for approximating Brownian trajectories in highly refined geometry, making it suitable for use in ray tracing acceleration techniques. This article was authored by Jean-Marc Tregan, Jean-Luc Amistoi, Megane Body, and others.