10 citations · 22 across the 11 of their papers we have counts for
7 papers · 1 filter
Energy-Preserving Coupling of Explicit Particle-In-Cell with Monte Carlo Collisions
Jean-Luc Vay, Justin Ray Angus, Olga Shapoval +3
The Particle-In-Cell (PIC) and Monte Carlo Collisions (MCC) methods are workhorses of many numerical simulations of physical systems. Recently, it was pointed out that, while the t…
Dephasing of ion beams as Magnetic Vortex Acceleration regime transitions into a bubble-like field structure
Sahel Hakimi, Stepan S. Bulanov, Axel Huebl +9
The interaction of an ultra-intense laser pulse with a near critical density target results in the formation of a plasma channel, a strong azimuthal magnetic field and moving vorti…
Report on the Advanced Linear Collider Study Group (ALEGRO) Workshop 2024
J. Vieira, B. Cros, P. Muggli +40
The workshop focused on the application of ANAs to particle physics keeping in mind the ultimate goal of a collider at the energy frontier (10\,TeV, e/e, e/e, or $γ…
Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring
Jeremy J. Williams, Daniel Medeiros, Stefan Costea +14
Large-scale HPC simulations of plasma dynamics in fusion devices require efficient parallel I/O to avoid slowing down the simulation and to enable the post-processing of critical i…
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization
Daoce Wang, Pascal Grosset, Jesus Pulido +8
Multi-resolution methods such as Adaptive Mesh Refinement (AMR) can enhance storage efficiency for HPC applications generating vast volumes of data. However, their applicability is…
AMReX and pyAMReX: Looking Beyond ECP
Andrew Myers, Weiqun Zhang, Ann Almgren +4
AMReX is a software framework for the development of block-structured mesh applications with adaptive mesh refinement (AMR). AMReX was initially developed and supported by the AMRe…
Synthesizing Particle-in-Cell Simulations Through Learning and GPU Computing for Hybrid Particle Accelerator Beamlines
Ryan T. Sandberg, Remi Lehe, Chad E. Mitchell +5
Particle accelerator modeling is an important field of research and development, essential to investigating, designing and operating some of the most complex scientific devices eve…