Multifidelity adaptive discretizations for plasmas

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Authors: Timothy Michael Wildey, Eric C. Cyr, Logan Tate Meredith, Ravi G. Patel, Caleb Logemann, Bryan Reuter, Gopal Yalla
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Abstract

SAND2026-16982O Multifidelity Adaptive Discretizations for Plasmas enhances predictive simulations of non-equilibrium gases and plasmas. It develops physics-based and data-driven models for plasma physics, which studies ionized gases affected by electric and magnetic fields. The software provides a framework for prototyping and testing algorithms, enabling researchers to demonstrate progress on established canonical examples. Key features include integrating particle-in-cell discretizations with finite element methods for electrostatics and electromagnetics, as well as using discontinuous Galerkin finite element methods for fluid models. Machine learning techniques will create an adaptive discretization that blends models while optimizing computational costs. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.

Fields of Study & Subjects

Plasma Diagnostics and Applications Magnetic confinement fusion research Vacuum and Plasma Arcs

Publication details

Journal / source
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Publication date
1 January 2026
Language
EN