most citedCell Escape Probabilities for Markov Processes on a Grid

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

math.NA2025

Fluid boundary conditions in kinetic-diffusion Monte Carlo

Thijs Steel, Vince Maes, Giovanni Samaey

The Kinetic-Diffusion Monte Carlo (KDMC) method is a powerful tool for simulating neutral particles in fusion reactors. It is a hybrid fluid-kinetic method that is significantly fa…

math.NA2025

A noise-robust Monte Carlo method for electric field calculations in EMC3

William De Deyn, Ruben De Wolf, Vince Maes +1

EMC3 is a state-of-the-art 3D Monte Carlo code for plasma edge transport in stellarator configurations, but it does not yet treat the drift self-consistently. Computin…

q-bio.QM2024

Kinetic-Diffusion-Rotation Algorithm for Dose Estimation in Electron Beam Therapy

Klaas Willems, Vince Maes, Zhirui Tang +1

Monte Carlo methods are state-of-the-art when it comes to dosimetric computations in radiotherapy. However, the execution time of these methods suffers in high-collisional regimes.…

physics.comp-ph2024

Predicting the statistical error of analog particle tracing Monte Carlo

Vince Maes, Ignace Bossuyt, Hannes Vandecasteele +4

Large particle systems are often described by high-dimensional (linear) kinetic equations that are simulated using Monte Carlo methods for which the asymptotic convergence rate is…

math-ph20241 cited

Cell Escape Probabilities for Markov Processes on a Grid

Toon Ingelaere, Vince Maes, Giovanni Samaey

Kinetic equations describe physical processes in a high-dimensional phase space and are often simulated using Markov process-based Monte Carlo routines. The quantities of interest…