Bulletin of the American Physical Society
63rd Annual Meeting of the APS Division of Plasma Physics
Volume 66, Number 13
Monday–Friday, November 8–12, 2021; Pittsburgh, PA
Session JM10: Mini-Conference: The High Repetition Rate Frontier in High Energy Density Physics
2:00 PM–5:00 PM,
Tuesday, November 9, 2021
Room: Room 406
Chair: Peter Heuer, Laboratory for Laser Energetics
Abstract: JM10.00001 : Accelerating the rate of discovery: Toward high-repetition-rate HED science*
2:00 PM–2:30 PM
Presenter:
Tammy Ma
(Lawrence Livermore Natl Lab)
Authors:
Tammy Ma
(Lawrence Livermore Natl Lab)
Derek Mariscal
(Lawrence Livermore Natl Lab)
MariAnn Albrecht
(Lawrence Livermore National Laboratory)
Rushil Anirudh
(Lawrence Livermore National Laboratory)
Peer-Timo Bremer
(Lawrence Livermore National Laboratory)
Blagoje Djordjevic
(Lawrence Livermore National Laboratory)
Scott Feister
(California State University, Channel Isl)
Thomas Galvin
(Lawrence Livermore National Laboratory)
Elizabeth S Grace
(Georgia Institute of Technology)
Sandrine Herriot
(Lawrence Livermore National Laboratory)
Sam A Jacobs
(Lawrence Livermore National Laboratory)
Bhavya Kailkhura
(Lawrence Livermore National Laboratory)
Andreas J Kemp
(Lawrence Livermore National Laboratory)
Reed C Hollinger
(Colorado State University)
Joohwan Kim
(University of California, San Diego)
Shusen Liu
(Lawrence Livermore National Laboratory)
Joshua Ludwig
(Lawrence Livermore National Laboratory)
Jorge J Rocca
(Colorado State University)
Graeme G Scott
(Lawrence Livermore National Laboratory)
Raspberry A Simpson
(Massachusetts Institute of Technology)
Brian K Spears
(Lawrence Livermore Natl Lab)
Thomas Spinka
(Lawrence Livermore National Laboratory)
Kelly Swanson
(Lawrence Livermore National Laboratory)
Vincent Tang
(Lawrence Livermore National Laboratory)
Jayaraman J Thiagarajan
(Lawrence Livermore National Laboratory)
Brian Van Essen
(Lawrence Livermore National Laboratory)
Shoujun Wang
(Colorado State University)
Scott Wilks
(Lawrence Livermore National Laboratory)
Jackson J Williams
(Lawrence Livermore National Laboratory)
Ghassan Zeraouli
(Colorado State University)
Jize Zhang
(Lawrence Livermore National Laboratory)
Mark C Herrmann
(Lawrence Livermore National Laboratory)
Constantin Haefner
(Fraunhofer Institute for Laser Technology)
Current energetic driver facilities depend on the ability to manually tune the lasers, the targets, the diagnostics settings, and more, between single shots or sets of shots through a manual feedback loop of data collection, data analysis, and optimization largely driven by experience and intuition. At 10 Hz, this paradigm is no longer sustainable as more complex data is collected more quickly than is possible to analyze manually.
Fully realizing the potential benefits of HRR facilities requires a fundamental shift in the design and execution of experiments done on them, the development of supporting technologies such as high-throughput targetry and diagnostics, and the evolution of machine learning techniques to couple traditional scientific computing with advanced data analytics. On-the-fly optimization of experiments will become ever more crucial as higher repetition rates will lead to more deliberate inter-shot variations and the improved operational range to allow exploration over larger regions of phase space.
We will present the vision and ongoing work to realize a HRR framework for rapidly delivered optimized experiments coupled to cognitive simulation to provide new insights in HED science.
*This work was performed under the auspices of the U.S. DOE by LLNL under contract DE-AC52-07NA27344, and supported by LDRDs 20-ERD-048 and 21-ERD-015, DOE Early Career SCW1651, and DOE-SC SCW1720 and SCW1722.
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