Fundamental Plasma Physics: Computation and machine learning

Presentations

• An implicit, conservative, asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrary magnetic fields

  ORAL

  Oct. 9, 2024, 2:00 PM – Oct. 9, 2024, 2:12 PM

  Publication: [1] G. Chen and L. Chacón, J. Comput. Phys., 487 (2023)
  [2] O. Koshkarov, L. Chacón, G. Chen, L. Ricketson, in preparation
  [3] G. Chen, L. Chacón, and D. C. Barnes, J. Comput. Phys., 230 (2011)
  [4] L. Ricketson and L. Chacón. J. Comput. Phys., 418 (2020)
  [5] O. Koshkarov, L. Chacón, G. Chen, L. Ricketson, J. Comput. Phys., 459, 111146 (2022)

  Presenters

  • Luis Chacon

    • Los Alamos Natl Lab

  Authors

  • Luis Chacon

    • Los Alamos Natl Lab

  • Oleksandr Koshkarov

    • Los Alamos National Laboratory

  • Guangye Chen

    • Los Alamos Natl Lab

  • Lee Ricketson

    • Lawrence Livermore National Laboratory

  View abstract →

• Stability of energy-conserving PIC algorithms with smoother interpolations and more accurate Poisson solves

  ORAL

  Oct. 9, 2024, 2:12 PM – Oct. 9, 2024, 2:24 PM

  Presenters

  • Luke C Adams

    • University of Colorado, Boulder

  Authors

  • Luke C Adams

    • University of Colorado, Boulder

  • Gregory R Werner

    • University of Colorado, Boulder

  • John Robert Cary

    • University of Colorado, Boulder, Tech-X Corporation

  View abstract →

• Long-time-scale particle-in-cell simulations of magnetized plasmas

  ORAL

  Oct. 9, 2024, 2:24 PM – Oct. 9, 2024, 2:36 PM

  Presenters

  • Ayden J Kish

    • University of Rochester

  Authors

  • Ayden J Kish

    • University of Rochester

  • Michael J Lavell

    • University of Rochester

  • Andrew Todd Sexton

    • University of Rochester

  • Eugene S Evans

    • University of Rochester

  • Adam B Sefkow

    • University of Rochester

  View abstract →

• Machine learning surrogate model for solving the Vlasov equation

  ORAL

  Oct. 9, 2024, 2:36 PM – Oct. 9, 2024, 2:48 PM

  Presenters

  • Simin Shekarpaz

    • Boston University

  Authors

  • Simin Shekarpaz

    • Boston University

  • Chuanfei Dong

    • Boston University

  • Ziyu Huang

    • Boston University

  • Liang Wang

    • Boston University

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• Machine Learning Heat Flux Closure for Multi-Moment Fluid Modeling of Nonlinear Landau Damping

  ORAL

  Oct. 9, 2024, 2:48 PM – Oct. 9, 2024, 3:00 PM

  Presenters

  • Ziyu Huang

    • Boston University

  Authors

  • Ziyu Huang

    • Boston University

  • Chuanfei Dong

    • Boston University

  • Liang Wang

    • Boston University

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• Data-driven discovery of heat-flux closures for collisionless electrostatic plasma phenomena

  ORAL

  Oct. 9, 2024, 3:00 PM – Oct. 9, 2024, 3:12 PM

  Presenters

  • Istvan Pusztai

    • Chalmers University of Technology

  Authors

  • Istvan Pusztai

    • Chalmers University of Technology

  • Emil Raaholt Ingelsten

    • Chalmers University of Technology

  • Madox Carver McGrae-Menge

    • University of California, Los Angeles

  • Paulo Alves

    • University of California, Los Angeles
    • UCLA

  View abstract →

• A multiscale hybrid particle-Maxwellian Coulomb-Collision Algorithm for Hybrid Kinetic-Fluid Simulations

  ORAL

  Oct. 9, 2024, 3:12 PM – Oct. 9, 2024, 3:24 PM

  Publication: arXiv:2405.09573v1

  Presenters

  • Guangye Chen

    • Los Alamos Natl Lab

  Authors

  • Guangye Chen

    • Los Alamos Natl Lab

  • Luis Chacon

    • Los Alamos Natl Lab

  • Adam J Stanier

    • Los Alamos Natl Lab

  • Steven E Anderson

    • Los Alamos National Laboratory

  • Bobby Philip

    • LANL

  View abstract →

• Learning magnetohydrodynamics from numerical turbulence with sparse regression

  ORAL

  Oct. 9, 2024, 3:24 PM – Oct. 9, 2024, 3:36 PM

  Presenters

  • Matthew Golden

    • Georgia Institute of Technology

  Authors

  • Matthew Golden

    • Georgia Institute of Technology

  • Kaushik Satapathy

    • University of Arizona

  • Dimitrios Psaltis

    • Georgia Institute of Technology
    • University of Arizona

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• Data-driven discovery of sub-grid models for a turbulent electromotive force in magnetic reconnection

  ORAL

  Oct. 9, 2024, 3:36 PM – Oct. 9, 2024, 3:48 PM

  Presenters

  • Alexander Velberg

    • Massachusetts Institute of Technology MIT

  Authors

  • Alexander Velberg

    • Massachusetts Institute of Technology MIT

  • Madox Carver McGrae-Menge

    • University of California, Los Angeles

  • Maria Almanza

    • UCLA
    • University of California, Los Angeles

  • Diogo D Carvalho

    • GoLP/IPFN, IST, ULisboa, Portugal
    • GoLP/IPFN, IST, ULisboa

  • Jacob R Pierce

    • University of California, Los Angeles

  • Nathaniel Barbour

    • University of Maryland, College Park

  • Paulo Alves

    • University of California, Los Angeles
    • UCLA

  • Frederico Fiuza

    • Instituto Superior Tecnico (Portugal)
    • IST University of Lisbon

  • William D Dorland (Deceased)

    • University of Maryland Department of Physics
    • U. of Maryland

  • Nuno F Loureiro

    • Massachusetts Institute of Technology

  View abstract →

• Abstract Withdrawn

  ORAL · Withdrawn

  Oct. 9, 2024, 3:48 PM – Oct. 9, 2024, 4:00 PM

  View abstract →

• A generative artificial intelligence surrogate model of plasma turbulence

  ORAL

  Oct. 9, 2024, 4:00 PM – Oct. 9, 2024, 4:12 PM

  Publication: Clavier, B., et al. "A generative machine learning surrogate model of plasma turbulence." arXiv preprint arXiv:2405.13232 (2024).

  Presenters

  • Benoît Clavier

  Authors

  • Benoît Clavier

  • Diego Del-Castillo-Negrete

    • Oak Ridge National Lab
    • Oak Ridge National Laboratory

  • David Zarzoso

    • Aix Marseille Université, CNRS, UMR 7340 M2P2

  • Emmanuel Frenod

    • Université Bretagne Sud, UMR 6205 LMBA

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• Modelling Rapid Target Heating through the Discontinuous Galerkin and Material Point Methods

  ORAL

  Oct. 9, 2024, 4:12 PM – Oct. 9, 2024, 4:24 PM

  Presenters

  • Kyle A Perez

    • Los Alamos National Laboratory

  Authors

  • Kyle A Perez

    • Los Alamos National Laboratory

  • JiaJia Waters

    • Los Alamos National Laboratory

  • Michael Woodward

    • Los Alamos National Laboratory

  • Daniel Livescu

    • LANL

  • Michael McKerns

    • LANL
    • Loc Alamos National Laboratory

  • Jason Edwin Koglin

    • Los Alamos National Laboratory

  View abstract →

• Modeling Plasma Plumes from Rapid Target Heating with Differentiable Smoothed Particle Hydrodynamics

  ORAL

  Oct. 9, 2024, 4:24 PM – Oct. 9, 2024, 4:36 PM

  Presenters

  • Michael Woodward

    • Los Alamos National Laboratory

  Authors

  • Michael Woodward

    • Los Alamos National Laboratory

  • Kyle A Perez

    • Los Alamos National Laboratory

  • Michael McKerns

    • LANL
    • Loc Alamos National Laboratory

  • JiaJia Waters

    • Los Alamos National Laboratory

  • Daniel Livescu

    • LANL

  • Jason Edwin Koglin

    • Los Alamos National Laboratory

  View abstract →