Fundamental Plasma: Computational Methods and Techniques

ORAL · ZM12 · ID: 3570559





Presentations

  • ORAL

    Publication: Chacón, Luis, and Guangye Chen. "Local conservation of energy in fully implicit PIC algorithms." Journal of Computational Physics 529 (2025): 113862.

    Presenters

    • Luis Chacon

      • Los Alamos National Laboratory (LANL)

    Authors

    • Luis Chacon

      • Los Alamos National Laboratory (LANL)
    • Guangye Chen

      • Los Alamos National Laboratory (LANL)

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  • ORAL

    Publication: Quantum mechanical closure of partial differential equations with symmetries, arXiv:2505.07519 (2025)

    Presenters

    • Chris Vales

      • Dartmouth College

    Authors

    • Chris Vales

      • Dartmouth College
    • Ilon Joseph

      • Lawrence Livermore National Laboratory
    • Joanna Maja Slawinska

      • Department of Mathematics, Dartmouth College
    • Dimitrios Giannakis

      • Dartmouth College

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  • ORAL

    Publication: arXiv:2507.09479

    Presenters

    • Bhuvanesh Sundar

      • Rigetti Computing

    Authors

    • Bhuvanesh Sundar

      • Rigetti Computing
    • Bram Evert

      • Rigetti Computing
    • Vasily I Geyko

      • Lawrence Livermore National Laboratory
    • Andrew D Patterson

      • Rigetti Computing
    • Ilon Joseph

      • Lawrence Livermore National Laboratory
    • Yuan Shi

      • University of Colorado Boulder

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  • ORAL

    Publication: [1] I. Joseph, Y. Shi, M. D. Porter, et al., arXiv:2212.05054, Phys. Plasmas 30, 010501 (2023).
    [2] I. Joseph, arXiv:2003.09980, Phys. Rev. Research 2, 043102 (2020).
    [3] I. Novikau, I. Joseph, arXiv:2410.03985, Comput. Phys. Commun. 309, 109498 (2025).
    [4] I. Novikau, I. Joseph, arXiv:2501.11146, submitted to J. Comp. Phys. (2025).

    Presenters

    • Ilon Joseph

      • Lawrence Livermore National Laboratory

    Authors

    • Ilon Joseph

      • Lawrence Livermore National Laboratory
    • Ivan Novikau

      • Lawrence Livermore National Laboratory

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  • ORAL

    Publication: [1] W. J. Cheng, H. Y. Fu, L. Wang, C. Dong, Y. Q. Jin, M. L. Jiang, J. Y. Ma, Y. L. Qin, and K. X. Liu, Data-driven, multi-moment fluid modeling of Landau damping, Computer Physics Communications 282, 108538 (2023).
    [2] Y. Qin, J. Ma, M. Jiang, C. Dong, H. Fu, L. Wang, W. Cheng, and Y. Jin, Data-driven modeling of Landau damping by physics-informed neural networks, Phys. Rev. Research 5, 033079 (2023).
    [3] Z. Huang, C. Dong, L. Wang, Machine learning heat flux closure for multi-moment fluid modeling of nonlinear Landau damping, Proceedings of the National Academy of Sciences 122, e2419073122 (2025).

    Presenters

    • Chuanfei Dong

      • Boston University

    Authors

    • Chuanfei Dong

      • Boston University
    • Ziyu Huang

      • Boston University
    • Yilan Qin

      • Boston University
    • Liang Wang

      • Boston University

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  • ORAL

    Presenters

    • Diogo D Carvalho

      • GoLP/IPFN, Instituto Superior Técnico, Universidade de Lisboa

    Authors

    • Diogo D Carvalho

      • GoLP/IPFN, Instituto Superior Técnico, Universidade de Lisboa
    • Luis O Silva

      • GoLP/IPFN, Instituto Superior Técnico, Universidade de Lisboa
      • GoLP/IPFN, Instituto Superior Tecnico, Universidade de Lisboa
    • Warren B Mori

      • University of California, Los Angeles
    • Paulo Alves

      • University of California, Los Angeles

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