collaborators

7 papers

physics.plasm-ph2026

Kinetic Simulations of Laser-Driven Compression and Heating of Magnetised Cryogenic Hydrogen Targets using PIConGPU

Filip Optołowicz, Klaus Steiniger, David Blaschke +2

We present fully kinetic two-dimensional, three-velocity-component (2D3V) PIConGPU simulations of a three-beam direct-drive interaction with a 15 m solid-density cryogenic hydr…

cs.ET2026

Post-Moore Technologies for Plasma Simulation: A Community Roadmap

Luca Pennati, Erik M. Ã sgrim, Jeremy J. Williams +21

Plasma simulations are among the most computationally demanding scientific workloads, combining high-dimensional kinetic evolution, particle-mesh coupling, field solves, and data-i…

physics.plasm-ph2026

X-Ray Diagnostics Analysis Verification and Exploration (xDAVE) Code for the Prediction and Interpretation of X-Ray Thomson Scattering Experiments

Hannah M. Bellenbaum, Dave A. Chapman, Maximilian P. Böhme +8

X-ray Thomson scattering (XRTS) is a common diagnostic used in the warm dense matter (WDM) regime to estimate plasma parameters like density, temperature and charge state. Experime…

hep-ph2026

Monte-Carlo Event Generation for X-Ray Thomson Scattering Analysis

Uwe Hernandez Acosta, Thomas Gawne, Jan Vorberger +6

A key diagnostic in warm-dense matter (WDM) experiments is X-ray Thomson scattering (XRTS), but its interpretation is often limited by complex instrument effects and the high compu…

astro-ph.HE2025

Radiative Signatures of Magnetic Reconnection: An Approach to Remote Probing of Reconnection Dynamics

Sergey K. Ermakov, Michael Bussmann, Alexander Debus +4

Magnetic reconnection drives a wide range of astrophysical phenomena, including geomagnetic storms, solar flares, and activity in blazars. However, direct measurement of key reconn…

physics.comp-ph2025

The Artificial Scientist -- in-transit Machine Learning of Plasma Simulations

Jeffrey Kelling, Vicente Bolea, Michael Bussmann +19

Increasing HPC cluster sizes and large-scale simulations that produce petabytes of data per run, create massive IO and storage challenges for analysis. Deep learning-based techniqu…