Fundamental Plasma Physics: Computation and machine learning
ORAL · PO07 · ID: 2648169
Presentations
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An implicit, conservative, asymptotic-preserving electrostatic particle-in-cell algorithm for arbitrary magnetic fields
ORAL
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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
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Luis Chacon
Los Alamos Natl Lab
Authors
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Luis Chacon
Los Alamos Natl Lab
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Oleksandr Koshkarov
Los Alamos National Laboratory
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Guangye Chen
Los Alamos Natl Lab
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Lee Ricketson
Lawrence Livermore National Laboratory
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Stability of energy-conserving PIC algorithms with smoother interpolations and more accurate Poisson solves
ORAL
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Presenters
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Luke C Adams
University of Colorado, Boulder
Authors
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Luke C Adams
University of Colorado, Boulder
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Gregory R Werner
University of Colorado, Boulder
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John Robert Cary
University of Colorado, Boulder, Tech-X Corporation
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Long-time-scale particle-in-cell simulations of magnetized plasmas
ORAL
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Presenters
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Ayden J Kish
University of Rochester
Authors
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Ayden J Kish
University of Rochester
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Michael J Lavell
University of Rochester
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Andrew Todd Sexton
University of Rochester
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Eugene S Evans
University of Rochester
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Adam B Sefkow
University of Rochester
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Machine learning surrogate model for solving the Vlasov equation
ORAL
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Presenters
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Simin Shekarpaz
Boston University
Authors
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Simin Shekarpaz
Boston University
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Chuanfei Dong
Boston University
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Ziyu Huang
Boston University
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Liang Wang
Boston University
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Machine Learning Heat Flux Closure for Multi-Moment Fluid Modeling of Nonlinear Landau Damping
ORAL
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Presenters
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Ziyu Huang
Boston University
Authors
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Ziyu Huang
Boston University
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Chuanfei Dong
Boston University
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Liang Wang
Boston University
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Data-driven discovery of heat-flux closures for collisionless electrostatic plasma phenomena
ORAL
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Presenters
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Istvan Pusztai
Chalmers University of Technology
Authors
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Istvan Pusztai
Chalmers University of Technology
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Emil Raaholt Ingelsten
Chalmers University of Technology
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Madox Carver McGrae-Menge
University of California, Los Angeles
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Paulo Alves
University of California, Los Angeles, UCLA
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A multiscale hybrid particle-Maxwellian Coulomb-Collision Algorithm for Hybrid Kinetic-Fluid Simulations
ORAL
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Publication: arXiv:2405.09573v1
Presenters
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Guangye Chen
Los Alamos Natl Lab
Authors
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Guangye Chen
Los Alamos Natl Lab
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Luis Chacon
Los Alamos Natl Lab
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Adam J Stanier
Los Alamos Natl Lab
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Steven E Anderson
Los Alamos National Laboratory
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Bobby Philip
LANL
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Learning magnetohydrodynamics from numerical turbulence with sparse regression
ORAL
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Presenters
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Matthew Golden
Georgia Institute of Technology
Authors
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Matthew Golden
Georgia Institute of Technology
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Kaushik Satapathy
University of Arizona
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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
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Presenters
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Alexander Velberg
Massachusetts Institute of Technology MIT
Authors
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Alexander Velberg
Massachusetts Institute of Technology MIT
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Madox Carver McGrae-Menge
University of California, Los Angeles
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Maria Almanza
UCLA, University of California, Los Angeles
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Diogo D Carvalho
GoLP/IPFN, IST, ULisboa, Portugal, GoLP/IPFN, IST, ULisboa
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Jacob R Pierce
University of California, Los Angeles
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Nathaniel Barbour
University of Maryland, College Park
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Paulo Alves
University of California, Los Angeles, UCLA
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Frederico Fiuza
Instituto Superior Tecnico (Portugal), IST University of Lisbon
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William D Dorland (Deceased)
University of Maryland Department of Physics, U. of Maryland
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Nuno F Loureiro
Massachusetts Institute of Technology
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Abstract Withdrawn
ORAL Withdrawn
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A generative artificial intelligence surrogate model of plasma turbulence
ORAL
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Publication: Clavier, B., et al. "A generative machine learning surrogate model of plasma turbulence." arXiv preprint arXiv:2405.13232 (2024).
Presenters
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Benoît Clavier
Authors
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Benoît Clavier
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Diego Del-Castillo-Negrete
Oak Ridge National Lab, Oak Ridge National Laboratory
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David Zarzoso
Aix Marseille Université, CNRS, UMR 7340 M2P2
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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
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Presenters
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Kyle A Perez
Los Alamos National Laboratory
Authors
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Kyle A Perez
Los Alamos National Laboratory
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JiaJia Waters
Los Alamos National Laboratory
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Michael Woodward
Los Alamos National Laboratory
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Daniel Livescu
LANL
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Michael McKerns
LANL, Loc Alamos National Laboratory
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Jason Edwin Koglin
Los Alamos National Laboratory
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Modeling Plasma Plumes from Rapid Target Heating with Differentiable Smoothed Particle Hydrodynamics
ORAL
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Presenters
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Michael Woodward
Los Alamos National Laboratory
Authors
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Michael Woodward
Los Alamos National Laboratory
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Kyle A Perez
Los Alamos National Laboratory
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Michael McKerns
LANL, Loc Alamos National Laboratory
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JiaJia Waters
Los Alamos National Laboratory
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Daniel Livescu
LANL
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Jason Edwin Koglin
Los Alamos National Laboratory
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