44 citations · 432 across the 34 of their papers we have counts for
5 papers · 1 filter
Meta variance reduction for Monte Carlo estimation of energetic particle confinement during stellarator optimization
Frederick Law, Antoine Cerfon, Benjamin Peherstorfer +1
This work introduces meta estimators that combine multiple multifidelity techniques based on control variates, importance sampling, and information reuse to yield a quasi-multiplic…
Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures
Sriramkrishnan Muralikrishnan, Matthias Frey, Alessandro Vinciguerra +5
We perform a scaling and performance portability study of the particle-in-cell scheme for plasma physics applications through a set of mini-apps we name "Alpine", which can make us…
Sparse Grids based Adaptive Noise Reduction strategy for Particle-In-Cell schemes
Sriramkrishnan Muralikrishnan, Antoine J. Cerfon, Matthias Frey +2
We propose a sparse grids based adaptive noise reduction strategy for electrostatic particle-in-cell (PIC) simulations. Our approach is based on the key idea of relying on sparse g…
Adaptive Hybridizable Discontinuous Galerkin discretization of the Grad-Shafranov equation by extension from polygonal subdomains
Tonatiuh Sánchez-Vizuet, Manuel E. Solano, Antoine J. Cerfon
We propose a high-order adaptive numerical solver for the semilinear elliptic boundary value problem modelling magnetic plasma equilibrium in axisymmetric confinement devices. In t…
Sparse grid techniques for particle-in-cell schemes
Lee F Ricketson, Antoine J Cerfon
We propose the use of sparse grids to accelerate particle-in-cell (PIC) schemes. By using the so-called `combination technique' from the sparse grids literature, we are able to dra…