Mini-Conference: Machine Learning in Plasma Sciences II

Presentations

• Machine learning surrogates of Bayesian models of nuclear fusion experiments

  ORAL

  Nov. 11, 2021, 9:30 AM – Nov. 11, 2021, 10:00 AM

  Presenters

  • Andrea Pavone

    • Max Planck Institute for Plasma Physics

  Authors

  • Andrea Pavone

    • Max Planck Institute for Plasma Physics

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

  ORAL

  Nov. 11, 2021, 10:00 AM – Nov. 11, 2021, 10:30 AM

  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

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• Novel aggregate machine learning and transport modeling profile predictions

  ORAL

  Nov. 11, 2021, 10:30 AM – Nov. 11, 2021, 10:45 AM

  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

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• Practical Techniques for Machine Learning Control of Fusion Plasmas

  ORAL

  Nov. 11, 2021, 10:45 AM – Nov. 11, 2021, 11:00 AM

  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

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• Subgrid Modeling of Gyrokinetic Turbulence using Machine Learning

  ORAL

  Nov. 11, 2021, 11:00 AM – Nov. 11, 2021, 11:15 AM

  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

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

  ORAL

  Nov. 11, 2021, 11:15 AM – Nov. 11, 2021, 11:30 AM

  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

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

  ORAL

  Nov. 11, 2021, 11:30 AM – Nov. 11, 2021, 11:45 AM

  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

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• A deterministic Gaussian-Mixtures Coulomb-collision algorithm for particle-in-cell

  ORAL

  Nov. 11, 2021, 11:45 AM – Nov. 11, 2021, 12:00 PM

  Presenters

  • Truong Nguyen

    • Los Alamos National Laboratory
    • Los Alamos Natl Lab

  Authors

  • Truong Nguyen

    • Los Alamos National Laboratory
    • Los Alamos Natl Lab

  • Luis Chacon

    • Los Alamos Natl Lab

  • Guangye Chen

    • Los Alamos Natl Lab

  • William T Taitano

    • Los Alamos National Laboratory

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• Data augmentation for disruption prediction via robust surrogate models

  ORAL

  Nov. 11, 2021, 12:00 PM – Nov. 11, 2021, 12:15 PM

  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

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• Upgrading LAPD diagnostic pipelines for training generative ML models

  ORAL

  Nov. 11, 2021, 12:15 PM – Nov. 11, 2021, 12:30 PM

  Presenters

  • Phil Travis

    • University of California, Los Angeles

  Authors

  • Phil Travis

    • University of California, Los Angeles

  • Steve T Vincena

    • University of California, Los Angeles
    • University of California, Los Angeles, US

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