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MFE: MHD, Control, and Machine Learning

ORAL · JO09 · ID: 1746268

Presentations

  • Differential Rotation to Prevent 2/1 Tearing Modes Driven by 3-Wave Coupling

    ORAL

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    Publication: "Use of Differential Plasma Rotation to Prevent Tearing Mode Onset from 3-Wave Coupling", to be submitted for consideration in Nuclear Fusion.

    Presenters

    • Nathan J Richner

      Oak Ridge Associated Universities

    Authors

    • Nathan J Richner

      Oak Ridge Associated Universities

    • Laszlo Bardoczi

      General Atomics

    • James D Callen

      University of Wisconsin - Madison

    • Robert J La Haye

      General Atomics - San Diego

    • Nikolas C Logan

      Columbia University, Lawrence Livermore Natl Lab

    • Ted J Strait

      General Atomics - San Diego, General Atomics, San Diego, General Atomics

    View abstract →

  • Investigation of multi-mode plasma response in EAST and its application in ITER scenario

    ORAL

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    Publication: [1] S. Gu et al, 2023, Exploiting the influence of up-down asymmetry in plasma shape on the 3D plasma response to maximize access to RMP-ELM control, In Review<br>[2] S. Gu et al, 2022, Influence of triangularity on the plasma response to resonant magnetic perturbations, Nucl. Fusion 62 076031<br>[3] S. Gu et al, 2019, A new criterion for controlling edge localized modes based on a multi-mode plasma response, Nucl. Fusion 59 126042

    Presenters

    • Shuai Gu

      Oak Ridge Associated Universities

    Authors

    • Shuai Gu

      Oak Ridge Associated Universities

    • Yueqiang Liu

      General Atomics - San Diego

    • Carlos A Paz-Soldan

      Columbia University

    View abstract →

  • Calculating an extended-MHD pedestal structure constraint

    ORAL

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    Presenters

    • Andreas Kleiner

      Princeton Plasma Physics Laboratory

    Authors

    • Andreas Kleiner

      Princeton Plasma Physics Laboratory

    • Nathaniel M Ferraro

      Princeton Plasma Physics Laboratory

    • Joseph T McClenaghan

      General Atomics - San Diego, General Atomics

    • Jason F Parisi

      Princeton Plasma Physics Laboratory

    View abstract →

  • Resistive Wall Tearing Mode Disruptions

    ORAL

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    Publication: [1] H. Strauss and JET Contributors, <br>Phys. Plasmas 28, 032501 (2021) <br><br>[2] H. Strauss,<br> Phys. Plasmas 28 072507 (2021)<br><br>[3] H. Strauss, B. C. Lyons, M. Knolker,<br>Phys. Plasmas 29 112508 (2022).<br><br>[4] H. R. Strauss, B. E. Chapman, N. C. Hurst,<br>PPCF 65 084002 (2023).<br><br>[5] H. R. Strauss, arXiv (2023).

    Presenters

    • Henry R Strauss

      HRS Fusion

    Authors

    • Henry R Strauss

      HRS Fusion

    View abstract →

  • Simulations on impurity radiation induced tearing mode growth during massive gas injection in tokamaks

    ORAL

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    Publication: [1] S.-Y. Zeng, et al, Species dependence of the impurity injection induced poloidal flow and magnetic island rotation in a tokamak, submitted to Plasma Phys. Control. Fusion (2023)<br>[2] S.-Y. Zeng, et al, Nucl. Fusion 63, 046018 (2023)<br>[3] S.-Y. Zeng, et al, Nucl. Fusion 63, 016026 (2023)<br>[4] S.-Y. Zeng, et al, Nucl. Fusion 62, 026015 (2022)

    Presenters

    • Shiyong Zeng

      University of Science and Technology of China

    Authors

    • Shiyong Zeng

      University of Science and Technology of China

    • Ping Zhu

      Huazhong University of Science and Technology, Huazhong University of Science & Technology

    • Ruijie Zhou

      Institute of Plasma Physics, Chinese Academy of Sciences

    • Ming Xu

      Institute of Plasma Physics, Chinese Academy of Sciences

    • Dominique F Escande

      Aix-Marseille University

    • Haijun Ren

      University of Science and Technology of China

    View abstract →

  • Gaussian Process Regression for Equilibrium Reconstruction in DIII-D and ITER Plasmas

    ORAL

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    Publication: [1] Leddy, Jarrod, et al. "Single Gaussian process method for arbitrary tokamak regimes with a<br>statistical analysis." Plasma Physics and Controlled Fusion 64.10 (2022): 104005.

    Presenters

    • Jarrod Leddy

      Tech-X Corp, Tech-X Corporation

    Authors

    • Jarrod Leddy

      Tech-X Corp, Tech-X Corporation

    • Eric C Howell

      Tech-X Corp

    • Scott E Kruger

      Tech-X Corp, Tech-X

    • Sandeep Madireddy

      Argonne National Laboratory

    • Cihan Akcay

      General Atomics

    • Torrin A Bechtel

      Oakridge Associate Universities, General Atomics

    • Lang L Lao

      General Atomics

    • Joseph T McClenaghan

      General Atomics - San Diego, General Atomics

    • David Orozco

      General Atomics

    • Sterling P Smith

      General Atomics

    • Alexei Pankin

      Princeton Plasma Physics Laboratory

    View abstract →

  • Production of a FAIR Tokamak Equilibria Database for Analysis and Machine Learning

    ORAL

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    Presenters

    • Torrin A Bechtel

      Oakridge Associate Universities, General Atomics

    Authors

    • Torrin A Bechtel

      Oakridge Associate Universities, General Atomics

    • David Orozco

      General Atomics

    • Scott E Kruger

      Tech-X Corp, Tech-X

    • Alexei Pankin

      Princeton Plasma Physics Laboratory

    • Joseph T McClenaghan

      General Atomics - San Diego, General Atomics

    • Lang L Lao

      General Atomics

    • Cihan Akcay

      General Atomics

    • Xuan Sun

      Oak Ridge Associated Universities

    • Sterling P Smith

      General Atomics

    • Orso-Maria O Meneghini

      General Atomics - San Diego, General Atomics

    View abstract →

  • Physics-augmented machine learning techniques for modeling tokamak dynamics

    ORAL

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    Publication: Data-driven ML model: Abbate 2021 Nucl. Fusion 61 046027 <br>ASTRA/TRANSP validation and verification: Abbate 2023 Nucl. Fusion [submitted]<br>Data+sim model: [in progress]

    Presenters

    • Joseph A Abbate

      Princeton Plasma Physics Laboratory, Princeton University

    Authors

    • Joseph A Abbate

      Princeton Plasma Physics Laboratory, Princeton University

    • Emiliano Fable

      Max-Planck-Institut für Plasmaphysik, Max Planck Institute for Plasma Physics

    • Alexei Pankin

      Princeton Plasma Physics Laboratory

    • Giovanni Tardini

      Max-Planck-Institut für Plasmaphysik, Garching, Max Planck Institut fuer Plasma Physik, Max-Planck-Institut für Plasmaphysik, Max Planck Institute for Plasma Physics

    • Egemen Kolemen

      Princeton University

    View abstract →

  • Spatio-temporal forecasting of plasma turbulence using deep learning

    ORAL

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    Presenters

    • Rahul Gaur

      Princeton Univeristy

    Authors

    • Rahul Gaur

      Princeton Univeristy

    • Vignesh Gopakumar

      UKAEA

    • Nathaniel Barbour

      University of Maryland, College Park

    • Byoungchan Jang

      University of Maryland

    • Noah R Mandell

      PPPL, Princeton Plasma Physics Laboratory, Princeton University

    • Ian G Abel

      IREAP, University of Maryland, College Park

    • William D Dorland

      University of Maryland Department of Physics

    • Egemen Kolemen

      Princeton University

    View abstract →