Bulletin of the American Physical Society
64th Annual Meeting of the APS Division of Plasma Physics
Volume 67, Number 15
Monday–Friday, October 17–21, 2022; Spokane, Washington
Session NO08: High Energy Density and Beam Physics
9:30 AM–12:30 PM,
Wednesday, October 19, 2022
Room: 402 ABC
Chair: Valentin Karasiev, LLE
Abstract: NO08.00012 : Towards AI-driven Experiments at PW-class Laser Facilities*
11:42 AM–11:54 AM
Presenter:
Derek A Mariscal
(Lawrence Livermore Natl Lab)
Authors:
Derek A Mariscal
(Lawrence Livermore Natl Lab)
Blagoje Z Djordjevic
(Lawrence Livermore National Lab)
Ghassan Zeraouli
(Colorado State University)
Kelly K Swanson
(Lawrence Livermore National Laboratory)
Raspberry A Simpson
(Massachusetts Institute of Technology MI)
Elizabeth S Grace
(Georgia Institute of Technology)
Tom Galvin
(LLNL)
Brian Van Essen
(LLNL)
Paul C Campbell
(Lawrence Livermore National Laboratory)
Reed C Hollinger
(Colorado State University)
Bryan Sullivan
(Colorado State University)
Ryan Nedbailo
(Colorado State University)
Shoujun Wang
(Colorado State University)
Jorge J Rocca
(Colorado State University)
Timo Bremer
(LLNL)
Rushil Anirudh
(LLNL)
Jayaraman J Thiagarajan
(LLNL)
Brian K Spears
(Lawrence Livermore Natl Lab)
Scott Feister
(California State University, Channel Isl)
Tammy Ma
(Lawrence Livermore Natl Lab)
Here, we present progress on this front by utilizing a physics-based ML model as the guide for experimental exploration and optimization by; proposing experimental samples, analyzing data, retraining the original model, and proposing new experimental samples with a “human in the loop”. The experiments were carried out at CSU’s ALEPH laser facility where the laser is controlled through spectral phase shaping and MeV-energy electrons and protons are measured with HRR diagnostics. The process was iterated multiple times in order to reduce the model uncertainty while searching for optimal laser settings to increase MeV particle production.
*This work was supported by the U.S. DOE by LLNL under Contract DE-AC52-07NA27344, with funding support from LDRD's 21-ERD-015 and 20-ERD-048, DOE Early Career SCW1651, and DOE-SC SCW1722, and SCW1720 . LaserNetUS experiments are supported by DE-SC0021246.
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