Mini-Conference on Machine Learning, Data Science, and Artificial Intelligence in Plasma Research I
ORAL · BM10
Presentations
-
WELCOME REMARKS
ORAL
–
Presenters
-
J. Luc Peterson
LLNL
Authors
-
J. Luc Peterson
LLNL
-
-
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
-
-
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
-
-
Development of plasma control algorithm design via machine learning
ORAL
–
Presenters
-
Brian Scott Sammuli
General Atomics
Authors
-
Brian Scott Sammuli
General Atomics
-
Erik Olofsson
General Atomics
-
David Humphreys
General Atomics, GA
-
Martin Margo
General Atomics
-
Mark Kostuk
General Atomics, General Atomics - San Diego
-
-
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
-
-
Scientific Data Services Framework for Plasma Physics
ORAL
–
Presenters
-
Kesheng Wu
Lawrence Berkeley National Laboratory
Authors
-
Kesheng Wu
Lawrence Berkeley National Laboratory
-
Bin Dong
Lawrence Berkeley National Laboratory
-
Surendra Byna
Lawrence Berkeley National Laboratory
-
-
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
-
-
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
-
-
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
-
-
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
-