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Mini-Conference: Machine Learning in Plasma Sciences: Today and Tomorrow

FOCUS · UM10 · ID: 21928

Presentations

  • The data-driven future of high-energy-density physics

    ORAL

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    Publication: The data-driven future of high energy density physics, Hatfield et al., (2021), Nature, 593, 7859, 351–361

    Presenters

    • Peter W Hatfield

      University of Oxford

    Authors

    • Peter W Hatfield

      University of Oxford

    • Jim A Gaffney

      Lawrence Livermore Natl Lab

    • Gemma J Anderson

      Lawrence Livermore Natl Lab

    View abstract →

  • Machine Learning for Real-time Fusion Plasma Behavior Prediction and Manipulation

    ORAL

    –

    Publication: A. Jalalvand, J. Abbate, R. Conlin, G. Verdoolaege, E. Koleman, "Real-Time and Adaptive Reservoir Computing with an Application to Profile Prediction in Fusion Plasma", IEEE Transactions on Neural Networks and Learning Systems, (2021), doi: 10.1109/TNNLS.2021.3085504<br><br>R. Conlin, J. Abbate, K. Erickson and E. Kolemen, "Keras2c: A library for converting Keras neural networks to real-time compatible C", Engineering Applications of Artificial Intelligence, (2021), https://doi.org/10.1016/j.engappai.2021.104182<br><br>J. Abbate and R. Conlin, E. Kolemen, "Data-Driven Profile Prediction for DIII-D", Nuclear Fusion, 61 046027 (2021) https://doi.org/10.1088/1741-4326/abe08d

    Presenters

    • Egemen Kolemen

      Princeton University, Princeton University / PPPL, Princeton University/PPPL

    Authors

    • Egemen Kolemen

      Princeton University, Princeton University / PPPL, Princeton University/PPPL

    • Mark D Boyer

      Princeton Plasma Physics Laboratory, PPPL, Princeton Plasma Physics Lab, Princeton Plasma Physics Laboratry

    • Ryan Coffee

      SLAC, SLAC National Accelerator Laboratory, SLAC National Accelerator Lab

    • Jeff Schneider

      Carnegie Mellon University, CMU

    • David R Smith

      University of Wisconsin - Madison

    • Azarakhsh Jalalvand

      Ghent University

    • Rory Conlin

      Princeton University, Princeton Plasma Physics Laboratory, Princeton University / PPPL, Princeton University/PPPL

    • Joseph A Abbate

      Princeton University, Princeton Plasma Physics Laboratory, Princeton University / PPPL

    View abstract →

  • Advancing Fusion with Machine Learning Research Needs Workshop and Report

    ORAL

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    Publication: D. Humphreys, A. Kupresanin, M.D. Boyer, J. Canik, C.S. Chang, E.C. Cyr, R. Granetz, J. Hittinger, E. Kolemen, E. Lawrence, V. Pascucci, A. Patra, D. Schissel, "Advancing Fusion with Machine Learning Research Needs Workshop Report," Journal of Fusion Energy, 39(4) (2020) 123-155; https://doi.org/10.1007/s10894-020-00258-1<br>

    Presenters

    • David A Humphreys

      General Atomics - San Diego

    Authors

    • David A Humphreys

      General Atomics - San Diego

    • Ana Kupresanin

      Lawrence Livermore Natl Lab

    • Mark D Boyer

      Princeton Plasma Physics Laboratory, PPPL, Princeton Plasma Physics Lab, Princeton Plasma Physics Laboratry

    • John Canik

      Oak Ridge National Lab, ORNL

    • Choongseok Chang

      Princeton Plasma Physics Laboratory, Princeton Plasma Physics Laboratory, Princeton University

    • Eric Cyr

      Sandia National Laboratories

    • Robert S Granetz

      Massachusetts Institute of Technology MI, Massachusetts Institute of Technology, MIT PSFC, MIT Plasma Science and Fusion Center, PSFC

    • Jeffrey A Hittinger

      Lawrence Livermore Natl Lab, LLNL

    • Egemen Kolemen

      Princeton University, Princeton University / PPPL, Princeton University/PPPL

    • Earl Lawrence

      Los Alamos National Laboratory

    • Valerio Pascucci

      University of Utah

    • Abani Patra

      Tufts University

    • David P Schissel

      General Atomics - San Diego, General Atomics

    View abstract →

  • Town Hall on the Future of the Machine Learning and Plasma Science

    ORAL

    –

    Presenters

    • Luc Peterson

      Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory, Livermore, CA

    Authors

    • Luc Peterson

      Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory, Livermore, CA

    • Cristina Rea

      Massachusetts Institute of Technology MIT, Massachusetts Institute of Technology, PSFC, MIT

    • Ralph Kube

      Princeton Plasma Physics Laboratory, PPPL

    • Zhehui Wang

      LLNL, Los Alamos Natl Lab

    View abstract →