445 citations · 2.6k across the 27 of their papers we have counts for
28 papers
Particle-in-Cell Simulations of Relativistic Magnetic Reconnection with Advanced Maxwell Solver Algorithms
Hannah Klion, Revathi Jambunathan, Michael E. Rowan +7
Relativistic magnetic reconnection is a non-ideal plasma process that is a source of non-thermal particle acceleration in many high-energy astrophysical systems. Particle-in-cell (…
From Compact Plasma Particle Sources to Advanced Accelerators with Modeling at Exascale
Axel Huebl, Remi Lehe, Edoardo Zoni +21
Developing complex, reliable advanced accelerators requires a coordinated, extensible, and comprehensive approach in modeling, from source to the end of beam lifetime. We present h…
HiPACE++: a portable, 3D quasi-static Particle-in-Cell code
Severin Diederichs, Carlo Benedetti, Axel Huebl +6
Modeling plasma accelerators is a computationally challenging task and the quasi-static particle-in-cell algorithm is a method of choice in a wide range of situations. In this work…
Dark Matter from Axion Strings with Adaptive Mesh Refinement
Malte Buschmann, Joshua W. Foster, Anson Hook +4
Axions are hypothetical particles that may explain the observed dark matter (DM) density and the non-observation of a neutron electric dipole moment. An increasing number of axion…
A Moving Embedded Boundary Approach For The Compressible Navier-Stokes Equations In A Block-Structured Adaptive Refinement Framework
Mahesh Natarajan, Ray Grout, Weiqun Zhang +1
A computational technique has been developed to perform compressible flow simulations involving moving boundaries using an embedded boundary approach within the block-structured ad…
AMReX: Block-Structured Adaptive Mesh Refinement for Multiphysics Applications
Weiqun Zhang, Andrew Myers, Kevin Gott +2
Block-structured adaptive mesh refinement (AMR) provides the basis for the temporal and spatial discretization strategy for a number of ECP applications in the areas of accelerator…