most citedEnabling particle applications for exascale computing platforms

29 citations · 29 across the 2 of their papers we have counts for

collaborators

5 papers

cs.DC202129 cited

Enabling particle applications for exascale computing platforms

Susan M Mniszewski, James Belak, Jean-Luc Fattebert +21

The Exascale Computing Project (ECP) is invested in co-design to assure that key applications are ready for exascale computing. Within ECP, the Co-design Center for Particle Applic…

cs.DC2021

VPIC 2.0: Next Generation Particle-in-Cell Simulations

Robert Bird, Nigel Tan, Scott V. Luedtke +3

VPIC is a general purpose Particle-in-Cell simulation code for modeling plasma phenomena such as magnetic reconnection, fusion, solar weather, and laser-plasma interaction in three…

physics.plasm-ph2019

Influence of 3D plasmoid dynamics on the transition from collisional to kinetic reconnection

A. Stanier, W. Daughton, A. Le +2

Within the resistive magnetohydrodynamic model, high-Lundquist number reconnection layers are unstable to the plasmoid instability, leading to a turbulent evolution where the recon…

astro-ph.HE2019

Pulsars in a Bubble? Following Electron Diffusion in the Galaxy with TeV Gamma Rays

H. Fleischhack, A. Albert, C. Alvarez +32

TeV Halos, extended regions of TeV gamma-ray emission around middle-aged pulsars, have recently been established as a new source class in gamma-ray astronomy. These halos have been…

physics.comp-ph2019

A semi-implicit, energy- and charge-conserving particle-in-cell algorithm for the relativistic Vlasov-Maxwell equations

Guangye Chen, Luis Chacón, Lin Yin +3

Conventional explicit electromagnetic particle-in-cell (PIC) algorithms do not conserve discrete energy exactly. Time-centered fully implicit PIC algorithms can conserve discrete e…