Monday, October 30, 2023
9:30AM - 9:42AM
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BO07.00001: Stable Machine-Learning Models for Fluid Simulations: A Geometry-Agnostic Approach to Nonlinear Kinetic Effects
Archis S Joglekar, Alexander G Thomas
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Monday, October 30, 2023
9:42AM - 9:54AM
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BO07.00002: Transformation for Physical Interpretability and Data Refinement in a Machine-Learned NLTE Model of ICF Simulation
Min Sang Cho, Paul E Grabowski, Michael J Barrow, Jayram S Thathachar, Peer-Timo Bremer, Kowshik Thopalli, Hai P Le, Howard A Scott, Mark E Foord, Jim A Gaffney
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Monday, October 30, 2023
9:54AM - 10:06AM
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BO07.00003: Prospects for statistical tests of strong-field quantum electrodynamics with high-intensity lasers.
Christoffer J Olofsson, Arkady Gonoskov
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Monday, October 30, 2023
10:06AM - 10:18AM
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BO07.00004: Quantifying and Reducing Uncertainty in Inertial Confinement Fusion Experiments Using Optimal Experimental Design
Codie Y Fiedler Kawaguchi, Kirk A Flippo, Alexander M Rasmus, Elizabeth C Merritt, Eric Johnsen, Xun Huan
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Monday, October 30, 2023
10:18AM - 10:30AM
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BO07.00005: Optimizing New Inertial Confinement Fusion Designs Under Uncertainty
Bogdan Kustowski, Kelli D Humbird, Eugene Kur, Jim A Gaffney, Michael K Kruse, Ryan C Nora, Brian K Spears
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Monday, October 30, 2023
10:30AM - 10:42AM
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BO07.00006: Laser-Direct-Drive Cryogenic Implosion Performance on OMEGAand Improvements to Illumination Uniformity and Ablation Pressure
Cliff A Thomas, Christian Stoeckl, Michael J Rosenberg, James P Knauer, Wolfgang R Theobald, Sean P Regan, TImothy J Collins, Valeri N Goncharov, Riccardo Betti, Christopher Deeney, Michael Campbell, Kenneth Anderson, Katelynn Bauer, Mark J Bonino, Duc M Cao, Stephen Craxton, Dana H Edgell, Reuben Epstein, Chad J Forrest, Vladimir Glebov, Varchas Gopalaswamy, David R Harding, Igor V Igumenshchev, Steven T Ivancic, Douglas W Jacobs-Perkins, Roger T Janezic, Joe Kwiatkowski, Aarne Lees, Frederic J Marshall, Michael Michalko, Dhrumir P Patel, Jonathan Peebles, P. B Radha, Hans G Rinderknecht, Siddharth Sampat, Thomas C Sangster, Rahul C Shah, Conner Williams
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Monday, October 30, 2023
10:42AM - 10:54AM
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BO07.00007: Direct-Drive Implosion Performance Optimization Using Gaussian Process Modeling and Reinforcement Learning
Rahman Ejaz, Varchas Gopalaswamy, Aarne Lees, Duc M Cao, Soumyendu Sarkar, Christopher Kanan
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Monday, October 30, 2023
10:54AM - 11:06AM
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BO07.00008: Using Deep Learning to Investigate Laboratory Astrophysics Experiments Through Collective Thomson Scattering Analysis
Michael Pokornik, Mario Manuel, Kasper Moczulski, Petros Tzeferacos, Frederico Fiuza, Farhat Beg, Alexey V Arefiev, Eleanor R Tubman, David Larson, Bradley B Pollock, George F Swadling, Drew Higginson, Hye-Sook Park
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Monday, October 30, 2023
11:06AM - 11:18AM
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BO07.00009: Computational acceleration of ICF capsule simulations through GPU-enabled plasma-physics modules
Alejandro Campos, Thomas M Stitt, Philip Mocz, Aaron A Skinner, Arturo Vargas, Kristi Belcher, David E Stevens, John P Grondalski, Kenneth Weiss, Robert N Rieben
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Monday, October 30, 2023
11:18AM - 11:30AM
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BO07.00010: Machine-learning based X-ray spectrometer for High Repetition Rate Analysis of Betatron Radiation
Nicholas F Beier, Vigneshvar Senthilkumaran, Shubho Mohajan, Ester Kriz, Ghassan Zeraouli, Sylvain Fourmaux, Francois Legare, Tammy Ma, Amina E Hussein
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Monday, October 30, 2023
11:30AM - 11:42AM
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BO07.00011: Optimization of Polar Direct Drive Illumination for Mega-Joule Laser Facilities
Duncan Barlow, Arnaud Colaitis, Diego Viala, Julien Mathiaud, Jean-Luc Feugeas, Matthew Streeter
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Monday, October 30, 2023
11:42AM - 11:54AM
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BO07.00012: Machine Learning Design Optimization of Inner Shells on Double Shell Target Capsules
Nomita Vazirani, Ryan F Sacks, Brian M Haines, Mike Grosskopf, David Stark, Paul A Bradley
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Monday, October 30, 2023
11:54AM - 12:06PM
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BO07.00013: Predicting N221204 observables from an ensemble of N210808 simulations
Michael K Kruse, Eugene Kur, Jim A Gaffney, Kelli D Humbird, Bogdan Kustowski, Ryan C Nora, Brian K Spears
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Monday, October 30, 2023
12:06PM - 12:18PM
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BO07.00014: Enhancing Neutron Yield in Cylindrical Target Designs Through Multi-Fidelity Bayesian Optimization
William Gammel, Joshua P Sauppe, Kevin K Lin
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