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

Presentations

• Disruption prediction: from shallow to deep learning and interpretability techniques

  ORAL

  Nov. 5, 2018, 2:00 PM – Nov. 5, 2018, 2:25 PM

  Presenters

  • Cristina Rea

    • Massachusetts Inst of Tech-MIT
    • Massachusetts Inst of Tech
    • MIT PSFC
    • Massachusetts Institute of Technology

  Authors

  • Cristina Rea

    • Massachusetts Inst of Tech-MIT
    • Massachusetts Inst of Tech
    • MIT PSFC
    • Massachusetts Institute of Technology

  • Robert S Granetz

    • Massachusetts Inst of Tech-MIT
    • Massachusetts Inst of Tech
    • MIT Plasma Science and Fusion Center
    • MIT PSFC

  • Kevin J Montes

    • Massachusetts Inst of Tech-MIT
    • MIT PSFC

  • Roy Alexander Tinguely

    • MIT PSFC
    • Massachusetts Inst of Tech-MIT

  View abstract →

• Quantifying and Propagating Uncertainties to Enhance Real-time Disruption Prediction with Machine Learning

  ORAL

  Nov. 5, 2018, 2:25 PM – Nov. 5, 2018, 2:45 PM

  Presenters

  • Craig Michoski

    • Univ. Texas, Austin
    • Univ of Texas, Austin

  Authors

  • Craig Michoski

    • Univ. Texas, Austin
    • Univ of Texas, Austin

  • Julian Kates-Harbeck

    • Harvard University

  • Gabriele Merlo

    • Univ of Texas, Austin

  • Max Bremer

    • Univ of Texas, Austin

  • Akash Shukla

    • Univ of Texas, Austin

  • Nikolas C Logan

    • Princeton Plasma Phys Lab
    • Princeton Plasma Physics Laboratory
    • Princeton Plasma Physics Lab

  • D.R. R Hatch

    • Univ of Texas, Austin
    • Institute for Fusion Studies, University of Texas at Austin
    • IFS / UT Austin

  • Cristina Rea

    • Massachusetts Inst of Tech-MIT
    • Massachusetts Inst of Tech
    • MIT PSFC
    • Massachusetts Institute of Technology

  • Todd A. Oliver

    • Univ of Texas, Austin

  • Jani Salomon Janhunen

    • Univ of Texas, Austin

  View abstract →

• Statistical Distance-Based Validation Metrics for Probabilistic Plasma Turbulence Validation Studies

  ORAL

  Nov. 5, 2018, 2:45 PM – Nov. 5, 2018, 3:05 PM

  Presenters

  • Payam Vaezi

    • Univ of California - San Diego

  Authors

  • Payam Vaezi

    • Univ of California - San Diego

  • Christopher G Holland

    • Univ of California - San Diego

  • B.A. A Grierson

    • PPPL
    • Princeton Plasma Phys Lab
    • Princeton Plasma Physics Laboratory

  • Gary M Staebler

    • GA
    • General Atomics - San Diego

  • Orso Meneghini

    • General Atomics
    • General Atomics - San Diego

  • Sterling P Smith

    • General Atomics
    • General Atomics - San Diego
    • GA

  View abstract →

• Machine learning and algorithmic approaches in ICF Capsule Design

  ORAL

  Nov. 5, 2018, 3:05 PM – Nov. 5, 2018, 3:25 PM

  Presenters

  • Peter William Hatfield

    • University of Oxford

  Authors

  • Peter William Hatfield

    • University of Oxford

  • Steven Rose

    • Imperial College London
    • University of Oxford, Imperial College

  • Robbie Scott

    • Rutherford Appleton Lab
    • RAL

  View abstract →

• A machine learning approach to interpreting complex high-dimensional spaces in Fusion Research

  ORAL

  Nov. 5, 2018, 3:25 PM – Nov. 5, 2018, 3:50 PM

  Presenters

  • Alessandro Pau

    • University of Cagliari - Electric and Electronic Eng. Department, DIEE

  Authors

  • Alessandro Pau

    • University of Cagliari - Electric and Electronic Eng. Department, DIEE

  View abstract →

• Manifold learning to detect the transition from kinetics to hydrodynamics

  ORAL

  Nov. 5, 2018, 3:50 PM – Nov. 5, 2018, 4:10 PM

  Presenters

  • Charles Leland Ellison

    • Lawrence Livermore Natl Lab
    • LLNL

  Authors

  • Charles Leland Ellison

    • Lawrence Livermore Natl Lab
    • LLNL

  • Frank R Graziani

    • Lawrence Livermore Natl Lab
    • Lawrence Livermore National Laboratory

  • Jeff Haack

    • Los Alamos National Laboratory
    • Los Alamos Natl Lab

  • Elizabeth Munch

    • Michigan State University

  • Michael Sean Murillo

    • Michigan State Univ
    • Michigan State University
    • The Department of Computational Mathematics, Science and Engineering, Michigan State University
    • Computational Mathematics, Science and Engineering, Michigan State University

  • Liam G. Stanton

    • Lawrence Livermore Natl Lab

  View abstract →

• Nested cross-validation loop for performance optimization in imbalanced problems

  ORAL

  Nov. 5, 2018, 4:10 PM – Nov. 5, 2018, 4:30 PM

  Presenters

  • Kevin J Montes

    • Massachusetts Inst of Tech-MIT
    • MIT PSFC

  Authors

  • Kevin J Montes

    • Massachusetts Inst of Tech-MIT
    • MIT PSFC

  • Cristina Rea

    • Massachusetts Inst of Tech-MIT
    • Massachusetts Inst of Tech
    • MIT PSFC
    • Massachusetts Institute of Technology

  • Robert S Granetz

    • Massachusetts Inst of Tech-MIT
    • Massachusetts Inst of Tech
    • MIT Plasma Science and Fusion Center
    • MIT PSFC

  • Roy Alexander Tinguely

    • MIT PSFC
    • Massachusetts Inst of Tech-MIT

  View abstract →

• Hazard function exploration of tokamak tearing mode stability boundaries

  ORAL

  Nov. 5, 2018, 4:30 PM – Nov. 5, 2018, 4:50 PM

  Presenters

  • Erik Olofsson

    • General Atomics

  Authors

  • Erik Olofsson

    • General Atomics

  • Brian Scott Sammuli

    • General Atomics

  • David Humphreys

    • General Atomics
    • GA

  View abstract →