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Magnetic Confinement Fusion/Fundamental Plasmas

INVITED · VI02 · ID: 595554





Presentations

  • Bringing advanced sparse system identification to plasma physics

    ORAL · Invited

    Publication: Kaptanoglu, Alan A., et al. "Physics-constrained, low-dimensional models for magnetohydrodynamics: First-principles and data-driven approaches." Physical Review E 104.1 (2021): 015206.<br><br>Kaptanoglu, Alan A., et al. "Promoting global stability in data-driven models of quadratic nonlinear dynamics." Physical Review Fluids 6.9 (2021): 094401.<br> <br>Kaptanoglu, Alan A., et al. "PySINDy: A comprehensive Python package for robust sparse system identification." Journal of Open Source Software 7.69 (2022): 3994.<br><br>Kaptanoglu, Alan A., et al. "Permanent magnet optimization for stellarators as sparse regression." To be submitted. <br>

    Presenters

    • Alan Kaptanoglu

      University of Washington

    Authors

    • Alan Kaptanoglu

      University of Washington

    • Christopher J Hansen

      University of Washington

    • Steven L Brunton

      University of Washington

    • Matt Landreman

      University of Maryland

    View abstract →

  • Data-driven discovery of reduced plasma physics models from fully-kinetic simulations

    ORAL · Invited

    Publication: https://arxiv.org/abs/2011.01927

    Presenters

    • Paulo Alves

      University of California, Los Angeles, UCLA, Department of Physics and Astronomy, Los Angeles, CA, USA, UCLA

    Authors

    • Paulo Alves

      University of California, Los Angeles, UCLA, Department of Physics and Astronomy, Los Angeles, CA, USA, UCLA

    • Frederico Fiuza

      SLAC - Natl Accelerator Lab, SLAC National Accelerator Laboratory, SLAC

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  • Kinetic Landau-fluid closures of non-Maxwellian distribution plasmas

    ORAL · Invited

    Publication: Kaixuan Fan, Xueqiao Xu, Ben Zhu, and Pengfei Li , "Kinetic Landau-fluid closures of non-Maxwellian distributions", Physics of Plasmas 29, 042116 (2022) https://doi.org/10.1063/5.0083108

    Presenters

    • Kaixuan kaixuan

      Peking University

    Authors

    • Kaixuan kaixuan

      Peking University

    • Xueqiao Xu

      Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratory, Livermore, California 94551, USA

    • Ben Zhu

      Lawrence Livermore Natl Lab

    • Pengfei Li

      Peking Univ

    View abstract →