ICF: AI/ML
ORAL · NO08 · ID: 3571610
Presentations
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Inertial Confinement Fusion on El Capitan
ORAL
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Presenters
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Kelli D Humbird
- Lawrence Livermore National Laboratory
Authors
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Kelli D Humbird
- Lawrence Livermore National Laboratory
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Bogdan Kustowski
- Lawrence Livermore National Laboratory
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Luc Peterson
- Lawrence Livermore National Laboratory
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Eugene Kur
- Lawrence Livermore National Laboratory
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Shailaja Humane
- University of Michigan
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Christopher V Young
- Lawrence Livermore National Laboratory
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Joe M Koning
- Lawrence Livermore National Laboratory
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Christopher R Schroeder
- Lawrence Livermore National Laboratory
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Christopher R Schroeder
- Lawrence Livermore National Laboratory
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Jose Luis Milovich
- Lawrence Livermore National Laboratory
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Ryan Tran
- OpenAI
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Brian Gunnarson
- Lawrence Livermore National Laboratory
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Ryan Lee
- Lawrence Livermore National Laboratory
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Robert N Rieben
- Lawrence Livermore National Laboratory
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Alejandro Campos
- Lawrence Livermore National Laboratory
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Bryan M Garcia
- Lawrence Livermore National Laboratory
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Judy Hill
- Lawrence Livermore Natl Lab
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Alister Maguire
- Lawrence Livermore National Laboratory
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Chris R Weber
- Lawrence Livermore National Laboratory
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Brian K. Spears
- Lawrence Livermore National Laboratory
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Robust optimization of the ICF design on El Capitan - the world's fastest supercomputer
ORAL
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Presenters
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Bogdan Kustowski
- Lawrence Livermore National Laboratory
Authors
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Bogdan Kustowski
- Lawrence Livermore National Laboratory
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Luc Peterson
- Lawrence Livermore National Laboratory
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Kelli D Humbird
- Lawrence Livermore National Laboratory
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Eugene Kur
- Lawrence Livermore National Laboratory
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Shailaja Humane
- University of Michigan
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Christopher V Young
- Lawrence Livermore National Laboratory
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Joe M Koning
- Lawrence Livermore National Laboratory
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Chris R Schroeder
- Lawrence Livermore National Laboratory
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Christopher R Weber
- Lawrence Livermore National Laboratory
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Jose Luis Milovich
- Lawrence Livermore National Laboratory
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Ryan Tran
- OpenAI
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Brian Gunnarson
- Lawrence Livermore National Laboratory
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Ryan Lee
- Lawrence Livermore National Laboratory
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Robert N Rieben
- Lawrence Livermore National Laboratory
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Alejandro Campos
- Lawrence Livermore National Laboratory
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Bryan M Garcia
- Lawrence Livermore National Laboratory
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Alister Maguire
- Lawrence Livermore National Laboratory
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Brian K. Spears
- Lawrence Livermore National Laboratory
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Automated search for inertial confinement fusion designs using Bayesian optimization
ORAL
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Publication: (submitted manuscript) S. Humane, E. Kur, K. Humbird, C. Kuranz; Inertial confinement fusion design search using Bayesian optimization; Data Science in Science
Presenters
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Shailaja Humane
- University of Michigan
Authors
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Shailaja Humane
- University of Michigan
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Eugene Kur
- Lawrence Livermore National Laboratory
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Kelli D Humbird
- Lawrence Livermore National Laboratory
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Carolyn C Kuranz
- University of Michigan
- OCC
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Machine Learned Surrogate for High-Z xRAGE Simulations
ORAL
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Presenters
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Bradley T Wolfe
- Los Alamos National Laboratory (LANL)
Authors
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Bradley T Wolfe
- Los Alamos National Laboratory (LANL)
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Mariana Alvarado Alvarez
- Los Alamos National Laboratory
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Steven Howard Batha
- Los Alamos National Laboratory (LANL)
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Ryan S Lester
- Los Alamos National Laboratory
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Peter Maginot
- Los Alamos National Laboratory
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Michael McKerns
- Loc Alamos National Laboratory
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Irina Sagert
- Los Alamos National Laboratory
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Emily Shinkle
- Los Alamos National Laboratory
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Using Neural Networks to Quantify Laser Filamentation for Inertial Confinement Fusion Applications
ORAL
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Presenters
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Rochan N Yakkundi
- Xcimer Energy Corporation
Authors
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Rochan N Yakkundi
- Xcimer Energy Corporation
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Ernesto Barraza-Valdez
- Xcimer Energy Corporation
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Joshua D Ludwig
- Xcimer Energy Corporation
- Xcimer Energy
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Marcos Cebrian
- Xcimer Energy
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Milan Holec
- Xcimer Energy Corporation
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Conner Galloway
- Xcimer Energy Corporation
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Uncertainty quantification of laser pulse shapes using Student-T processes with input noise
ORAL
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Presenters
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Neil Dhir
- Focused Energy
Authors
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Neil Dhir
- Focused Energy
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Jim Gaffney
- Focused Energy
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Debbie A Callahan
- Focused Energy
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Stefano Atzeni
- Focused Energy
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Matthias Brönner
- Focused Energy
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Arnaud Debayle
- Focused Energy
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Javier J. Honrubia
- Focused Energy
- University Politecnica de Madrid
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Alfonso Mateo
- Focused Energy
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Linh Nguyen
- Focused Energy
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Valeria Ospina-Bohorquez
- Focused Energy Inc.
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Pravesh K Patel
- Focused Energy
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J. Manuel Perlado
- Focused Energy
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Markus Roth
- Focused Energy
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Wolfgang Theobald
- University of Rochester
- Focused Energy
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Xavier Vaisseau
- Focused Energy
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Florian Wasser
- Focused Energy
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Doug Hammond
- Focused Energy
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Maximilian Hartmann
- Focused Energy
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Clement Paradis
- Focused Energy and Pulsed Light Technology
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Gabriel Schaumann
- Focused Energy
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Hierarchical Bayesian Modeling of Ablation Pressure in Laser-Driven Implosion Experiments
ORAL
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Presenters
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Mason R Weiss
- Laboratory for Laser Energetics and Rice University
Authors
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Mason R Weiss
- Laboratory for Laser Energetics and Rice University
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Ethan A Smith
- Laboratory for Laser Energetics, University of Rochester
- Laboratory for Laser Energetics (LLE)
- Department of Physics and Astronomy, University of Rochester, Rochester, NY, United States
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David Alexander Chin
- University of Rochester
- Laboratory for Laser Energetics
- Laboratory for Laser Energetics, University of Rochester, Rochester, NY, United States
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John J Ruby
- University of Rochester
- Department of Mechanical Engineering, University of Rochester
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Neel V Kabadi
- Laboratory for Laser Energetics
- Laboratory for Laser Energetics (LLE)
- Laboratory for Laser Energetics, University of Rochester, Rochester, NY, United States
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J. Ryan Rygg
- Laboratory for Laser Energetics, University of Rochester
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Gilbert W Collins
- University of Rochester
- Laboratory for Laser Energetics, University of Rochester
- Department of Physics and Astronomy, University of Rochester, Rochester, NY, United States
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Predicting Areal Density in ICF Experiments Using an Uncertainty-Aware Neural Network
ORAL
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Presenters
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Chris J Chang
- Laboratory For Laser Energetics (LLE)
Authors
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Chris J Chang
- Laboratory For Laser Energetics (LLE)
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Varchas Gopalaswamy
- Laboratory for Laser Energetics (LLE)
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Riccardo Betti
- University of Rochester
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Aarne Lees
- University of Rochester
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Christopher Kanan
- Department of Computer Science, University of Rochester
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James P Knauer
- University of Rochester
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Luke A Ceurvorst
- University of Rochester
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Rahman Ejaz
- Laboratory for Laser Energetics (LLE)
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Dhrumir P Patel
- University of Rochester
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Joint Diffusion as a Multi-Modal Surrogate for Inertial Confinement Fusion Simulations
ORAL
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Publication: 1) Jones, M., Kustowski, B., Kur E., Nora R., Humbird K. (2025). Towards a Multi-Modal Foundation Model for Inertial Confinement Fusion: Combining Structured Data and Diagnostic Images. ICML 2025 Workshop on Foundation Models for Structured Data https://openreview.net/pdf?id=G4Trc0Sl6k
2) Planned Submission to PNAS forthcomingPresenters
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Mike Jones
- Lawrence Livermore National Laboratory
Authors
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Mike Jones
- Lawrence Livermore National Laboratory
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Bogdan Kustowski
- Lawrence Livermore National Laboratory
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Eugene Kur
- Lawrence Livermore National Laboratory
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Ryan C Nora
- Lawrence Livermore National Laboratory
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Kelli D Humbird
- Lawrence Livermore National Laboratory
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Fine-tuning Large Language Models for Inertial Confinement Fusion – a collaboration with NVIDIA
ORAL
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Presenters
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Radha Bahukutumbi
- Los Alamos National Laboratory
- University of Rochester
Authors
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Radha Bahukutumbi
- Los Alamos National Laboratory
- University of Rochester
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David D Meyerhofer
- Los Alamos National Laboratory (LANL)
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Nathan Debardeleben
- Los Alamos National Laboratory
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Michael Lang
- Los Alamos National Laboratory
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Aastha Jhunjhunwala
- NVIDIA Corporation
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Avinash Vem
- NVIDIA Corporation
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Douglas Luu
- NVIDIA Corporation
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Prakash Gurumurthy
- NVIDIA Corporation
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Scott Halverson
- NVIDIA Corporation
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Geetika Gupta
- NVIDIA Corporation
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Kelli D Humbird
- Lawrence Livermore National Laboratory
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Brian K. Spears
- Lawrence Livermore National Laboratory
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Optimizing the Performance of Direct-Drive Implosion Experiments Using Transformer Neural Processes and Meta-Look-Ahead
ORAL
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Presenters
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Rahman Ejaz
- Laboratory for Laser Energetics (LLE)
Authors
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Rahman Ejaz
- Laboratory for Laser Energetics (LLE)
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Varchas Gopalaswamy
- Laboratory for Laser Energetics (LLE)
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Ricardo Luna
- Hewlett Packard Labs, Hewlett Packard Enterprise, Milpitas, CA USA
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Aarne Lees
- University of Rochester
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Riccardo Betti
- University of Rochester
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Soumyendu Sarkar
- Hewlett Packard Labs, Hewlett Packard Enterprise
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Christopher Kanan
- Department of Computer Science, University of Rochester
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Machine-learned surrogate driven exploration of the design space of a multi-shell liner target
ORAL
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Presenters
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Damilola Adekanye
- First Light Fusion
Authors
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Damilola Adekanye
- First Light Fusion
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Joshua Read
- First Light Fusion
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Oliver Nash
- First Light Fusion
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Victor Beltran Martinez
- First Light Fusion
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David Goude
- First Light Fusion
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Sam Rudgyard
- First Light Fusion
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Ronan L Doherty
- First Light Fusion
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James R Allison
- First Light Fusion
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Guy C Burdiak
- First Light Fusion
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Jonathan W Skidmore
- First Light Fusion
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Thomas Edwards
- First Light Fusion
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James D Pecover
- First Light Fusion
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Rafel Marc Bordas
- First Light Fusion
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Development of a Nonlocal Electron Transport Model in DT through TD-DFT Calculations and Machine Learning for Inertial Confinement Fusion
ORAL
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Publication: Currently drafting a manuscript of results - will submit prior to APS.
Presenters
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Katarina Alice Nichols
- University of Rochester
Authors
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Katarina Alice Nichols
- University of Rochester
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Suxing Hu
- University of Rochester
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Nathaniel R Shaffer
- Laboratory for Laser Energetics (LLE)
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Brennan J Arnold
- Laboratory for Laser Energetics, University of Rochester
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Deyan I Mihaylov
- University of Rochester
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Valeri N Goncharov
- University of Rochester
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Alexander J White
- Los Alamos National Laboratory
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Lee A. Collins
- Los Alamos National Laboratory (LANL)
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Valentin V Karasiev
- University of Rochester
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Modeling Plasma Plumes from Rapid Target Heating with Smoothed Particle Hydrodynamics and data-assimilation
ORAL
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Presenters
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Michael Woodward
- Los Alamos National Laboratory (LANL)
Authors
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Michael Woodward
- Los Alamos National Laboratory (LANL)
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