Mini-Conference: Machine Learning in Plasma Sciences II

ORAL · TM10 · ID: 21927

Presentations

  • Overview and status of the FES Scientific Machine Learning project, "Accelerating radio frequency modeling using machine learning"

    ORAL

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    Presenters

    • John C Wright

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

    Authors

    • John C Wright

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

    • Gregory M Wallace

      MIT PSFC, Massachusetts Institute of Technology MI

    • E.W. Bethel

      LBNL, Lawrence Berkeley National Laboratory

    • Z. Bai

      LBNL, Lawrence Berkeley National Laboratory

    • T. Perciano

      LBNL, Lawrence Berkeley National Laboratory

    • R. Sadre

      LBNL, Lawrence Berkeley National Laboratory

    • Nicola Bertelli

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

    • Syun'ichi Shiraiwa

      Princeton Plasma Physics Laboratory, PPPL

    View abstract →

  • Novel aggregate machine learning and transport modeling profile predictions

    ORAL

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    Publication: J. Abbate et al 2021 Nucl. Fusion 61 046027

    Presenters

    • Joseph A Abbate

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

    Authors

    • Joseph A Abbate

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

    • Rory Conlin

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

    • Egemen Kolemen

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

    View abstract →

  • Practical Techniques for Machine Learning Control of Fusion Plasmas

    ORAL

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    Presenters

    • Rory Conlin

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

    Authors

    • 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

    • Laura Fang

      Princeton University

    • Azmaine Iqtidar

      Princeton University

    • Yunona Iwasaki

      Princeton University

    • Aaron Wu

      Princeton University

    • Egemen Kolemen

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

    View abstract →

  • Data-driven models for Alfvén eigenmode classification based on high resolution ECE diagnostics at DIII-D

    ORAL

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    Publication: We are working on an extended version of this work to be submitted to Nuclear Fusion journal.

    Presenters

    • Azarakhsh Jalalvand

      Ghent University

    Authors

    • Azarakhsh Jalalvand

      Ghent University

    • Alan Kaptanoglu

      University of Washington

    • Alvin V Garcia

      University of California, Irvine

    • Andrew O Nelson

      Princeton Plasma Physics Laboratory, Princeton University

    • Joseph A Abbate

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

    • Max E Austin

      University of Texas at Austin

    • Geert Verdoolaege

      Ghent University

    • Steven L Brunton

      University of Washington

    • William W Heidbrink

      University of California, Irvine

    • Egemen Kolemen

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

    View abstract →

  • Data-enabled Fusion Technology (DeFT): Machine Learning Tools in the Ousai Platform

    ORAL

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    Publication: A Gaussian Process Guide for Signal Regression in Nuclear Fusion, Craig Michoski, Todd Oliver, David Hatch, Ahmed Diallo, Mike Kotschenreuther, David Eldon, Rich Groebner, Oak Nelson (In Preparation)

    System Architectures for Integrated Analysis (SAFIA), (In Preparation), Craig Michoski, Todd Oliver, David Hatch, Dongyang Kuang, Steph-Y. Louis, Siwei Luo, Matthieu Vitse

    Presenters

    • Craig Michoski

      University of Texas at Austin

    Authors

    • Craig Michoski

      University of Texas at Austin

    • David R Hatch

      University of Texas at Austin, Institute for Fusion Studies, University of Texas at Austin

    • Todd Oliver

      ODEN Institute

    • Dongyang Kuang

      University of Texas at Austin

    • Steph-Y. Louis

      Sapientai LLC

    • Siwei Luo

      Sapientai LLC

    • Matthieu Vitse

      Sapientai LLC

    View abstract →

  • Data augmentation for disruption prediction via robust surrogate models

    ORAL

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    Presenters

    • Katharina Rath

      Ludwig Maximilian University Munich, Max Planck Insitute for Plasma Physics

    Authors

    • Katharina Rath

      Ludwig Maximilian University Munich, Max Planck Insitute for Plasma Physics

    • Christopher G Albert

      Max Planck Institute for Plasma Physics

    • Bernd Bischl

      Ludwig Maximilian University Munich

    • Udo von Toussaint

      Max Planck Institute for Plasma Physics

    View abstract →