activity
20242026
collaborators

6 papers

astro-ph.IM2026

Astrophysics on GPUs: introducing AGILE 1.0

Oliver Porth, Adrian Kelly, Olaf Willocx +10

We present AGILE, a GPU-enabled adaptive mesh refinement (AMR) framework for the solution of (near-) conservation laws which occur in astro- and solar-physical applications. AGILE…

physics.plasm-ph2026

Stochastic simulation of partial discharge inception

Jannis Teunissen, Yuting Gao

We present a Monte Carlo method for simulating the inception of electric discharges in gases. The input consists of an unstructured grid containing the electrostatic field. The out…

physics.comp-ph2026

foap4: Adaptive mesh refinement with OpenACC, MPI, and p4est

Jannis Teunissen, Héctor R. Olivares Sánchez, Jesse Vos +10

GPUs and other accelerators are increasingly used for scientific computing. In the future, we want to add GPU support to parallel adaptive mesh refinement (AMR) codes written in Fo…

physics.plasm-ph2025

Data-driven reduced modeling of streamer discharges in air

Jannis Teunissen, Alejandro Malagón-Romero, Alejandro Malagón-Romero

We present a computational framework for simulating filamentary electric discharges, in which channels are represented as conducting cylindrical segments. The framework requires a…

physics.plasm-ph2025

Positive streamer discharge simulations in humid air: uncertainty in input data and sensitivity analysis

Baohong Guo, Hemaditya Malla, Alejandro Malagon-Romero +1

We study how the choice of input data affects simulations of positive streamers in humid air, focusing on H2O cross sections, photoionization models, and chemistry sets. Simulation…

physics.plasm-ph2024

Measurement of the electric field distribution in streamer discharges

Yihao Guo, Anne Limburg, Jesse Laarman +2

Using electric field induced second harmonic generation (E-FISH), we performed direction-resolved absolute electric field measurements on single-channel streamer discharges in 70 m…