Mini-Conference on Machine Learning, Data Science, and Artificial Intelligence in Plasma Research I

ORAL · BM10





Presentations

  • Reconstruction of fusion plasma state with a Plasma Debugger

    ORAL

    Presenters

    • M. Dikovsky

      Google, LLC, Google Inc.

    Authors

    • M. Dikovsky

      Google, LLC, Google Inc.

    • E. A. Baltz

      Google, LLC, Google, Google Inc.

    • Y. Carmon

      Google Inc.

    • R. Koningstein

      Google Inc.

    • I. Langmore

      Google, LLC, Google Inc.

    • T. Madams

      Google, LLC, Google Inc.

    • P. C. Norgaard

      Google, LLC, Google Inc.

    • J. Platt

      Google Inc.

    • J. Romero

      TAE Technologies Inc., TAE Technologies, Inc, TAE Technologies

    • M.C. C. Thompson

      TAE Technologies, Inc., TAE Technologies

    • E. Trask

      TAE Technologies

    • E. Granstedt

      TAE Technologies

    • H. Gota

      TAE Technologies, Inc., TAE Technologies & the Google/TAE TEAM, Tri Alpha Energy, TAE Technologies

    • R. Mendoza

      TAE Technologies

    View abstract →

  • Unsupervised Reinforcement Learning of ALE Mesh Management Strategies for Hohlraum Simulations in HYDRA

    ORAL

    Presenters

    • Jay David Salmonson

      Lawrence Livermore Natl Lab

    Authors

    • Jay David Salmonson

      Lawrence Livermore Natl Lab

    • Han Truong

      Lawrence Livermore Natl Lab

    • Joseph M Koning

      Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    • Jayson Dean Lucius Peterson

      Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    View abstract →

  • Accelerated predictive models based on TRANSP for scenario optimization and control of NSTX-U

    ORAL

    Presenters

    • Dan D Boyer

      PPPL, Princeton Plasma Phys Lab

    Authors

    • Dan D Boyer

      PPPL, Princeton Plasma Phys Lab

    • Keith Erickson

      Princeton Plasma Phys Lab, PPPL

    • Stanley Martin Kaye

      Princeton Plasma Phys Lab, Princeton University, USA, Princeton Plasma Phys Lab, PPPL

    • Vaish Gajaraj

      PPPL, New York University, New York University

    • Justin Kunimune

      Olin College of Engineering, PPPL, Franklin W Olin College of Engineering

    • Michael Zarnstorff

      Princeton Plasma Phys Lab

    View abstract →

  • Learning-based predictive models: a new approach to integrating large-scale simulations and experiments

    ORAL

    Presenters

    • Brian K. Spears

      Lawrence Livermore Natl Lab

    Authors

    • Brian K. Spears

      Lawrence Livermore Natl Lab

    • Jayson Dean Lucius Peterson

      Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

    • Timo Bremer

      Lawrence Livermore Natl Lab

    • Brian Van Essen

      Lawrence Livermore Natl Lab

    • John E Field

      Lawrence Livermore Natl Lab

    • Peter Robinson

      Lawrence Livermore Natl Lab

    • Jessica Semler

      Lawrence Livermore Natl Lab

    • Bogdan Kustowski

      Lawrence Livermore Natl Lab

    • Jim A Gaffney

      Lawrence Livermore Natl Lab

    View abstract →

  • Transfer learning for the calibration of the inertial confinement fusion simulations

    ORAL

    Presenters

    • Bogdan Kustowski

      Lawrence Livermore Natl Lab

    Authors

    • Bogdan Kustowski

      Lawrence Livermore Natl Lab

    • Jim A Gaffney

      Lawrence Livermore Natl Lab

    • Brian K. Spears

      Lawrence Livermore Natl Lab

    • Gemma J. Anderson

      Lawrence Livermore Natl Lab

    • Jayaraman Jayaraman Thiagarajan

      Lawrence Livermore Natl Lab

    • Rushil Anirudh

      Lawrence Livermore Natl Lab

    View abstract →

  • Finding structure in large datasets of particle distribution functions using unsupervised machine learning

    ORAL

    Presenters

    • Randy Michael Churchill

      Princeton Plasma Physics Laboratory, Princeton Plasma Phys Lab, Princeton Plasma Physics Laboratory, Princeton, NJ 08543-451, USA

    Authors

    • Randy Michael Churchill

      Princeton Plasma Physics Laboratory, Princeton Plasma Phys Lab, Princeton Plasma Physics Laboratory, Princeton, NJ 08543-451, USA

    • Choong Seock Chang

      Princeton Plasma Physics Laboratory, Princeton Plasma Physics Lab, Princeton Plasma Phys Laboratory, Princeton Plasma Phys Lab, Princeton Plasma Physics Laboratory, Princeton, NJ 08543-451, USA

    • Seung Hoe Ku

      Princeton Plasma Physics Laboratory, Princeton Plasma Phys Lab, Princeton Plasma Physics Laboratory, Princeton, NJ 08543-451, USA

    View abstract →

  • Neural-Network accelerated fusion transport simulations for ITER scenario modeling

    ORAL

    Presenters

    • Chieko Sarah Imai

      UCSD, University of California San Diego

    Authors

    • Chieko Sarah Imai

      UCSD, University of California San Diego

    • Orso Meneghini

      General Atomics, General Atomics - San Diego

    • Joseph McClenaghan

      ORAU, General Atomics - San Diego

    • Sterling P Smith

      General Atomics, General Atomics - San Diego, GA

    • Gary M Staebler

      GA, General Atomics - San Diego

    • Alberto Loarte

      ITER Organization, ITER

    View abstract →