Mini-Conference: Machine Learning in Plasma Sciences I

Presentations

• Welcome Remarks

  COFFEE_KLATCH

  Nov. 10, 2021, 9:30 AM – Nov. 10, 2021, 9:35 AM

  View abstract →

• Automation and control of laser wakefield accelerators using Bayesian optimization

  ORAL

  Nov. 10, 2021, 9:35 AM – Nov. 10, 2021, 10:05 AM

  Publication: R. J. Shalloo et al., "Automation and control of laser wakefield accelerators using Bayesian optimization", Nat. Comms. 11, 6355 (2020)
  https://doi.org/10.1038/s41467-020-20245-6

  Presenters

  • Rob Shalloo

    • DESY

  Authors

  • Rob Shalloo

    • DESY

  • Stephen J Dann

    • STFC Central Laser Facility
    • Central Laser Facility
    • The Cockcroft Institute

  • Jan-Niclas Gruse

    • Imperial College London

  • Christopher Underwood

    • University of York

  • Andre F Antoine

    • University of Michigan

  • Christopher Arran

    • University of York

  • Michael Backhouse

    • Imperial College London

  • Christopher Baird

    • Rutherford Appleton Lab
    • Central Laser Facility

  • Mario Balcazar

    • University of Michigan

  • Nicholas Bourgeois

    • STFC Central Laser Facility
    • Central Laser Facility
    • Rutherford Appleton Lab

  • Jason A Cardarelli

    • University of Michigan

  • Peter W Hatfield

    • University of Oxford

  • Jiwoong Kang

    • University of Michigan

  • Karl M Krushelnick

    • University of Michigan
    • Center for Ultra-Fast Optics, University of Michigan, Ann Arbor, Michigan USA
    • University of Michigan - Ann Arbor
    • Gérard Mourou Center for Ultrafast Optical Science, University of Michigan, Ann Arbor, Michigan 48109, USA

  • Stuart P.D. Mangles

    • Imperial College London

  • Chris D Murphy

    • University of York

  • Ning Lu

    • University of Michigan

  • Jens Osterhoff

    • Deutsches Elektronen-Synchrotron DESY
    • DESY
    • Deutsches Elektronen-Synchrotron (DESY)

  • Kristjan Poder

    • Deutsches Elektronen-Synchrotron (DESY)

  • Pattathil Rajeev

    • Rutherford Appleton Lab
    • Central Laser Facility

  • Christopher P Ridgers

    • University of York

  • Savio V Rozario

    • Imperial College London

  • Matthew P Selwood

    • University of York

  • Ashwin J Shahani

    • University of Michigan

  • Dan R Symes

    • STFC Central Laser Facility
    • Central Laser Facility

  • Alexander G Thomas

    • University of Michigan
    • University of Michigan - Ann Arbor

  • Christopher Thornton

    • Central Laser Facility

  • Zulfikar Najmudin

    • Imperial College London
    • Imperial College London, UK

  • Matthew J. V Streeter

    • Queen's University Belfast
    • The Queens University of Belfast
    • The Cockcroft Institute

  View abstract →

• Bayesian Methods in Inertial Confinement Fusion Research: Embracing uncertainty and Learning More from our Data*

  ORAL

  Nov. 10, 2021, 10:05 AM – Nov. 10, 2021, 10:20 AM

  Presenters

  • Patrick F Knapp

    • Sandia National Laboratories

  Authors

  • Patrick F Knapp

    • Sandia National Laboratories

  • Michael E Glinsky

    • Sandia National Laboratories

  • William E Lewis

    • Sandia National Laboratories

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• Machine Learning Spike Trains of Uneven Duration and Delay: STUD Pulses for Laser-Plasma Instability Control and Suppression

  ORAL

  Nov. 10, 2021, 10:20 AM – Nov. 10, 2021, 10:35 AM

  Presenters

  • Bedros B Afeyan

    • Polymath Research Inc

  Authors

  • Bedros B Afeyan

    • Polymath Research Inc

  • Jeffrey A Hittinger

    • Lawrence Livermore Natl Lab
    • LLNL

  • Jayaraman J Thiagarajan

    • LLNL
    • Lawrence Livermore National Laboratory

  • Rushil Anirudh

    • LLNL
    • Lawrence Livermore National Laboratory

  View abstract →

• Data-driven modelling of laser-plasma experiments enabled by large datasets.

  ORAL

  Nov. 10, 2021, 10:35 AM – Nov. 10, 2021, 10:50 AM

  Presenters

  • Andre F Antoine

    • University of Michigan

  Authors

  • Andre F Antoine

    • University of Michigan

  • Alexander G Thomas

    • University of Michigan
    • University of Michigan - Ann Arbor

  • Jason A Cardarelli

    • University of Michigan

  • Matthew J. V Streeter

    • Queen's University Belfast
    • The Queens University of Belfast
    • The Cockcroft Institute

  • Chris D Murphy

    • University of York

  • Karl M Krushelnick

    • University of Michigan
    • Center for Ultra-Fast Optics, University of Michigan, Ann Arbor, Michigan USA
    • University of Michigan - Ann Arbor
    • Gérard Mourou Center for Ultrafast Optical Science, University of Michigan, Ann Arbor, Michigan 48109, USA

  • Christopher Arran

    • University of York

  • Stuart P.D. Mangles

    • Imperial College London

  • Zulfikar Najmudin

    • Imperial College London
    • Imperial College London, UK

  • Archis Joglekar

    • Polymath Research Inc

  • Mario Balcazar

    • University of Michigan

  • Peter W Hatfield

    • University of Oxford

  • Nicholas Bourgeois

    • STFC Central Laser Facility
    • Central Laser Facility
    • Rutherford Appleton Lab

  • Stephen J Dann

    • STFC Central Laser Facility
    • Central Laser Facility
    • The Cockcroft Institute

  • Jan-Niclas Gruse

    • Imperial College London

  • Daniel R Symes

    • Rutherford Appleton Lab

  • Christopher P Ridgers

    • University of York

  • Ashwin J Shahani

    • University of Michigan

  • Rob Shalloo

    • DESY

  • Savio V Rozario

    • Imperial College London

  • Kristjan Poder

    • Imperial College London

  • Jens Osterhoff

    • Deutsches Elektronen-Synchrotron DESY
    • DESY
    • Deutsches Elektronen-Synchrotron (DESY)

  • Matthew P Selwood

    • University of York

  • Michael Backhouse

    • Imperial College London

  • Christopher Underwood

    • University of York

  • Jiwoong Kang

    • University of Michigan

  • Pattathil Rajeev

    • Rutherford Appleton Lab
    • Central Laser Facility

  • Christopher Baird

    • Rutherford Appleton Lab
    • Central Laser Facility

  • Ning Lu

    • University of Michigan

  View abstract →

• What machine learning can and cannot do for ICF

  ORAL

  Nov. 10, 2021, 10:50 AM – Nov. 10, 2021, 11:05 AM

  Presenters

  • Baolian Cheng

    • Los Alamos Natl Lab

  Authors

  • Baolian Cheng

    • Los Alamos Natl Lab

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• Optimizing high energy density experimental designs to elucidate complex coupling between physics phenomena for training ML models

  ORAL

  Nov. 10, 2021, 11:05 AM – Nov. 10, 2021, 11:20 AM

  Presenters

  • John L Kline

    • Los Alamos Natl Lab
    • Los Alamos National Laboratory

  Authors

  • John L Kline

    • Los Alamos Natl Lab
    • Los Alamos National Laboratory

  • Michael J Grosskopf

    • Los Alamos National Lab
    • Los Alamos National Laboratory

  • Nelson M Hoffman

    • Los Alamos National Laboratory
    • Los Alamos Natl Lab

  • Bedros B Afeyan

    • Polymath Research Inc

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• Neural Networks for Rapid Analysis of High Repetition Rate Diagnostics

  ORAL

  Nov. 10, 2021, 11:20 AM – Nov. 10, 2021, 11:35 AM

  Publication: D.A. Mariscal, et al., "Design of Flexible Proton Beam Imaging Energy Spectrometers (PROBIES)", Plasma Physics and Controlled Fusion, (submitted)

  Presenters

  • Derek Mariscal

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory

  Authors

  • Derek Mariscal

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory

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• Multi-Output Surrogate Construction for Fusion Simulations

  ORAL

  Nov. 10, 2021, 11:35 AM – Nov. 10, 2021, 11:50 AM

  Presenters

  • Kathryn Maupin

  Authors

  • Kathryn Maupin

  • Anh Tran

    • Sandia National Laboratories

  • Michael E Glinsky

    • Sandia National Laboratories

  • Patrick F Knapp

    • Sandia National Laboratories

  • William E Lewis

    • Sandia National Laboratories

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• Improving the plasma science data environment

  ORAL

  Nov. 10, 2021, 11:50 AM – Nov. 10, 2021, 12:05 PM

  Presenters

  • Nicholas Murphy

    • Center for Astrophysics | Harvard & Smithsonian
    • Harvard - Smithsonian Center for Astroph
    • Center for Astrophysics | Harvard & Smithsonian, US

  Authors

  • Nicholas Murphy

    • Center for Astrophysics | Harvard & Smithsonian
    • Harvard - Smithsonian Center for Astroph
    • Center for Astrophysics | Harvard & Smithsonian, US

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• Reducing Economic Costs as an Explicit Requirement for Machine-Learning-Based Classifiers

  ORAL

  Nov. 10, 2021, 12:05 PM – Nov. 10, 2021, 12:20 PM

  Presenters

  • Matthew S Parsons

    • Pennsylvania State University

  Authors

  • Matthew S Parsons

    • Pennsylvania State University

  View abstract →