activity
20192025
most citedAn unsupervised machine-learning checkpoint-restart algorithm using Gaussian mixtures for particle-in-cell simulations

12 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

physics.plasm-ph2025

Aligning Thermal and Current Quenches with a High Density Low-Z Injection

Jason Hamilton, Luis Chacon, Giannis Keramidas +1

The conventional approach for thermal quench mitigation in a tokamak disruption is through a high-Z impurity injection that radiates away the plasma's thermal energy before it reac…

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…

physics.comp-ph2020★ 12 cited

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

G. Chen, L. Chacon, T. B. Nguyen

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

physics.plasm-ph2019★ 10 cited

A cancellation problem in hybrid particle-in-cell schemes due to finite particle size

A. Stanier, L. Chacon, A. Le

The quasi-neutral hybrid particle-in-cell algorithm with kinetic ions and fluid electrons is a popular model to study multi-scale problems in laboratory, space, and astrophysical p…

physics.flu-dyn2019★ 8 cited

CHNS: A case study of turbulence in elastic media

Xiang Fan, P. H. Diamond, L. Chacón

Recent progress in the study of Cahn-Hilliard Navier-Stokes (CHNS) turbulence is summarized. This is an example of \textit{elastic turbulence}, which can occur in elastic (i.e. sel…