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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 →

  • Subgrid Modeling of Gyrokinetic Turbulence using Machine Learning

    ORAL

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    Presenters

    • Nathaniel Barbour

      University of Maryland, College Park

    Authors

    • Nathaniel Barbour

      University of Maryland, College Park

    • William D Dorland

      University of Maryland, College Park, Princeton Plasma Physics Laboratory, University of Maryland Department of Physics, UMD

    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)<br><br>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 →