activity
20112026
most citedAn Energy- and Charge-conserving, Implicit, Electrostatic Particle-in-Cell Algorithm

236 citations · 635 across the 16 of their papers we have counts for

collaborators

16 papers

physics.plasm-ph2026

Comment on "Impact of particle number and cell-size in fully implicit charge- and energy-conserving particle-in-cell schemes" by N. Savard et al., Phys. Plasmas 32, 073903 (2025)

Luis Chacon, Guangye Chen, Lee Ricketson

We take issue with the conclusions in the recent publication by Savard et al. In the study, the authors implement a fully nonlinear charge- and energy-conserving implicit particle-…

math.NA2024

Exact local conservation of energy in fully implicit PIC algorithms

Luis Chacon, Guangye Chen

We consider the issue of strict, fully discrete \emph{local} energy conservation for a whole class of fully implicit local-charge- and global-energy-conserving particle-in-cell (PI…

physics.comp-ph2024

A multiscale hybrid Maxwellian-Monte-Carlo Coulomb collision algorithm for particle simulations

G. Chen, A. J. Stanier, L. Chacón +2

Coulomb collisions in particle simulations for weakly coupled plasmas are modeled by the Landau-Fokker-Planck equation, which is typically solved by Monte-Carlo (MC) methods. One o…

physics.comp-ph2022★ 15 cited

An implicit, conservative and asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrarily magnetized plasmas in uniform magnetic fields

Guangye Chen, Luis Chacón

We introduce a new electrostatic particle-in-cell algorithm capable of using large timesteps compared to particle gyro-period under a uniform external magnetic field. The algorithm…

cs.DC2021★ 29 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★ 1 cited

An unsupervised machine-learning checkpoint-restart algorithm using Gaussian mixtures for particle-in-cell simulations

Guangye Chen, Luis Chacón, Truong B. Nguyen

We propose an unsupervised machine-learning checkpoint-restart (CR) lossy algorithm for particle-in-cell (PIC) algorithms using Gaussian mixtures (GM). The algorithm features a par…