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ICF: AI/ML

ORAL · NO08 · ID: 3571610

Presentations

  • Inertial Confinement Fusion on El Capitan

    ORAL

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    Presenters

    • Kelli D Humbird

      Lawrence Livermore National Laboratory

    Authors

    • Kelli D Humbird

      Lawrence Livermore National Laboratory

    • Bogdan Kustowski

      Lawrence Livermore National Laboratory

    • Luc Peterson

      Lawrence Livermore National Laboratory

    • Eugene Kur

      Lawrence Livermore National Laboratory

    • Shailaja Humane

    • Christopher V Young

      Lawrence Livermore National Laboratory

    • Joseph M Koning

      Lawrence Livermore National Laboratory

    • Christopher R Schroeder

      Lawrence Livermore National Laboratory

    • Christopher R Schroeder

      Lawrence Livermore National Laboratory

    • Jose Luis Milovich

      Lawrence Livermore National Laboratory

    • Ryan Tran

      OpenAI

    • Brian Gunnarson

      Lawrence Livermore National Laboratory

    • Ryan Lee

      Lawrence Livermore National Laboratory

    • Robert N Rieben

      Lawrence Livermore National Laboratory

    • Alejandro Campos

      Lawrence Livermore National Laboratory

    • Bryan M Garcia

      Lawrence Livermore National Laboratory

    • Judy Hill

      Lawrence Livermore Natl Lab

    • Alister Maguire

      Lawrence Livermore National Laboratory

    • Chris R Weber

      Lawrence Livermore National Laboratory

    • Brian K. Spears

      Lawrence Livermore National Laboratory

    View abstract →

  • Robust optimization of the ICF design on El Capitan - the world's fastest supercomputer

    ORAL

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    Presenters

    • Bogdan Kustowski

      Lawrence Livermore National Laboratory

    Authors

    • Bogdan Kustowski

      Lawrence Livermore National Laboratory

    • Luc Peterson

      Lawrence Livermore National Laboratory

    • Kelli D Humbird

      Lawrence Livermore National Laboratory

    • Eugene Kur

      Lawrence Livermore National Laboratory

    • Shailaja Humane

    • Christopher V Young

      Lawrence Livermore National Laboratory

    • Joseph M Koning

      Lawrence Livermore National Laboratory

    • Chris R Schroeder

      Lawrence Livermore National Laboratory

    • Christopher R Weber

      Lawrence Livermore National Laboratory

    • Jose Luis Milovich

      Lawrence Livermore National Laboratory

    • Ryan Tran

      OpenAI

    • Brian Gunnarson

      Lawrence Livermore National Laboratory

    • Ryan Lee

      Lawrence Livermore National Laboratory

    • Robert N Rieben

      Lawrence Livermore National Laboratory

    • Alejandro Campos

      Lawrence Livermore National Laboratory

    • Bryan M Garcia

      Lawrence Livermore National Laboratory

    • Alister Maguire

      Lawrence Livermore National Laboratory

    • Brian K. Spears

      Lawrence Livermore National Laboratory

    View abstract →

  • 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

    • Shailaja Humane

    Authors

    • Shailaja Humane

    • Eugene Kur

      Lawrence Livermore National Laboratory

    • Kelli D Humbird

      Lawrence Livermore National Laboratory

    • Carolyn C Kuranz

      OCC

    View abstract →

  • Machine Learned Surrogate for High-Z xRAGE Simulations

    ORAL

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    Presenters

    • Bradley T Wolfe

      Los Alamos National Laboratory (LANL)

    Authors

    • Bradley T Wolfe

      Los Alamos National Laboratory (LANL)

    • Mariana Alvarado Alvarez

      Los Alamos National Laboratory

    • Steven Howard Batha

      Los Alamos National Laboratory (LANL)

    • Ryan S Lester

      Los Alamos National Laboratory

    • Peter Maginot

      Los Alamos National Laboratory

    • Michael McKerns

      Loc Alamos National Laboratory

    • Irina Sagert

      Los Alamos National Laboratory

    • Emily Shinkle

      Los Alamos National Laboratory

    View abstract →

  • Using Neural Networks to Quantify Laser Filamentation for Inertial Confinement Fusion Applications

    ORAL

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    Presenters

    • Rochan N Yakkundi

      Xcimer Energy, Xcimer Energy Corporation

    Authors

    • Rochan N Yakkundi

      Xcimer Energy, Xcimer Energy Corporation

    • Ernesto Barraza-Valdez

      Xcimer Energy Corporation

    • Joshua D Ludwig

      Xcimer Energy, Xcimer Energy Corporation

    • Marcos Cebrian

      Xcimer Energy

    • Milan Holec

      Xcimer Energy Corporation

    • Conner Galloway

      Xcimer Energy Corporation

    View abstract →

  • Uncertainty quantification of laser pulse shapes using Student-T processes with input noise

    ORAL

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    Presenters

    • Neil Dhir

      Focused Energy

    Authors

    • Neil Dhir

      Focused Energy

    • Jim Gaffney

      Focused Energy

    • Debbie A Callahan

      Focused Energy

    • Stefano Atzeni

      Focused Energy

    • Matthias Brönner

      Focused Energy

    • Arnaud Debayle

      Focused Energy

    • Javier J. Honrubia

      Focused Energy, University Politecnica de Madrid

    • Alfonso Mateo

      Focused Energy

    • Linh Nguyen

      Focused Energy

    • Valeria Ospina-Bohorquez

      Focused Energy Inc.

    • Pravesh K Patel

      Focused Energy

    • J. Manuel Perlado

      Focused Energy

    • Markus Roth

      Focused Energy

    • Wolfgang Theobald

      Focused Energy, University of Rochester

    • Xavier Vaisseau

      Focused Energy

    • Florian Wasser

      Focused Energy

    • Doug Hammond

      Focused Energy

    • Maximilian Hartmann

      Focused Energy

    • Clement Paradis

      Focused Energy and Pulsed Light Technology

    • Gabriel Schaumann

      Focused Energy

    View abstract →

  • Hierarchical Bayesian Modeling of Ablation Pressure in Laser-Driven Implosion Experiments

    ORAL

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    Presenters

    • Mason R Weiss

      Laboratory for Laser Energetics and Rice University

    Authors

    • Mason R Weiss

      Laboratory for Laser Energetics and Rice University

    • Ethan A Smith

      Laboratory for Laser Energetics (LLE), Department of Physics and Astronomy, University of Rochester, Rochester, NY, United States, Laboratory for Laser Energetics, University of Rochester

    • David Alexander Chin

      University of Rochester, Laboratory for Laser Energetics, Laboratory for Laser Energetics, University of Rochester, Rochester, NY, United States

    • John J Ruby

      Department of Mechanical Engineering, University of Rochester, University of Rochester

    • Neel V Kabadi

      Laboratory for Laser Energetics (LLE), Laboratory for Laser Energetics, University of Rochester, Rochester, NY, United States, Laboratory for Laser Energetics

    • J. Ryan Rygg

      Laboratory for Laser Energetics, University of Rochester

    • Gilbert W Collins

      University of Rochester, Department of Physics and Astronomy, University of Rochester, Rochester, NY, United States, Laboratory for Laser Energetics, University of Rochester

    View abstract →

  • Predicting Areal Density in ICF Experiments Using an Uncertainty-Aware Neural Network

    ORAL

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    Presenters

    • Chris J Chang

      Laboratory For Laser Energetics (LLE)

    Authors

    • Chris J Chang

      Laboratory For Laser Energetics (LLE)

    • Varchas Gopalaswamy

      Laboratory for Laser Energetics (LLE)

    • Riccardo Betti

      University of Rochester

    • Aarne Lees

      University of Rochester

    • Christopher Kanan

      Department of Computer Science, University of Rochester

    • James P Knauer

      University of Rochester, Laboratory for Laser Energetics

    • Luke A Ceurvorst

      University of Rochester

    • Rahman Ejaz

      Laboratory for Laser Energetics (LLE)

    • Dhrumir P Patel

      University of Rochester

    View abstract →

  • 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<br>2) Planned Submission to PNAS forthcoming

    Presenters

    • Michael Jones

      Lawrence Livermore National Laboratory

    Authors

    • Michael Jones

      Lawrence Livermore National Laboratory

    • Bogdan Kustowski

      Lawrence Livermore National Laboratory

    • Eugene Kur

      Lawrence Livermore National Laboratory

    • Ryan C Nora

      Lawrence Livermore National Laboratory

    • Kelli D Humbird

      Lawrence Livermore National Laboratory

    View abstract →

  • Fine-tuning Large Language Models for Inertial Confinement Fusion – a collaboration with NVIDIA

    ORAL

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    Presenters

    • Radha Bahukutumbi

      Los Alamos National Laboratory, University of Rochester

    Authors

    • Radha Bahukutumbi

      Los Alamos National Laboratory, University of Rochester

    • David D Meyerhofer

      Los Alamos National Laboratory (LANL)

    • Nathan Debardeleben

      Los Alamos National Laboratory

    • Michael Lang

      Los Alamos National Laboratory

    • Aastha Jhunjhunwala

      NVIDIA Corporation

    • Avinash Vem

      NVIDIA Corporation

    • Douglas Luu

      NVIDIA Corporation

    • Prakash Gurumurthy

      NVIDIA Corporation

    • Scott Halverson

      NVIDIA Corporation

    • Geetika Gupta

      NVIDIA Corporation

    • Kelli D Humbird

      Lawrence Livermore National Laboratory

    • Brian K. Spears

      Lawrence Livermore National Laboratory

    View abstract →

  • Optimizing the Performance of Direct-Drive Implosion Experiments Using Transformer Neural Processes and Meta-Look-Ahead

    ORAL

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    Presenters

    • Rahman Ejaz

      Laboratory for Laser Energetics (LLE)

    Authors

    • Rahman Ejaz

      Laboratory for Laser Energetics (LLE)

    • Varchas Gopalaswamy

      Laboratory for Laser Energetics (LLE)

    • Ricardo Luna

      Hewlett Packard Labs, Hewlett Packard Enterprise, Milpitas, CA USA

    • Aarne Lees

      University of Rochester

    • Riccardo Betti

      University of Rochester

    • Soumyendu Sarkar

      Hewlett Packard Labs, Hewlett Packard Enterprise

    • Christopher Kanan

      Department of Computer Science, University of Rochester

    View abstract →

  • Machine-learned surrogate driven exploration of the design space of a multi-shell liner target

    ORAL

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    Presenters

    • Damilola Adekanye

      First Light Fusion

    Authors

    • Damilola Adekanye

      First Light Fusion

    • Joshua Read

      First Light Fusion

    • Oliver Nash

      First Light Fusion

    • Victor Beltran Martinez

      First Light Fusion

    • David Goude

      First Light Fusion

    • Sam Rudgyard

      First Light Fusion

    • Ronan L Doherty

      First Light Fusion

    • James R Allison

      First Light Fusion

    • Guy C Burdiak

      First Light Fusion

    • Jonathan W Skidmore

      First Light Fusion

    • Thomas Edwards

      First Light Fusion

    • James D Pecover

      First Light Fusion

    • Rafel Marc Bordas

      First Light Fusion

    View abstract →

  • 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

    • Katarina Alice Nichols

      University of Rochester

    Authors

    • Katarina Alice Nichols

      University of Rochester

    • Suxing Hu

      University of Rochester

    • Nathaniel R Shaffer

      Laboratory for Laser Energetics (LLE)

    • Brennan J Arnold

      Laboratory for Laser Energetics, University of Rochester

    • Deyan I Mihaylov

      University of Rochester

    • Valeri N Goncharov

      University of Rochester

    • Alexander J White

      Los Alamos National Laboratory

    • Lee A. Collins

      Los Alamos National Laboratory (LANL)

    • Valentin V Karasiev

      University of Rochester

    View abstract →