US nuclear research to be led by AI-powered fusion design system

Source: interestingengineering
Author: @IntEngineering
Published: 8/5/2025
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Read original articleScientists at Lawrence Livermore National Laboratory (LLNL), in collaboration with Los Alamos and Sandia National Laboratories under the National Nuclear Security Administration (NNSA), have developed an AI-driven system called the Multi-Agent Design Assistant (MADA) to automate and accelerate the design of targets for inertial confinement fusion (ICF) experiments. MADA integrates large language models (LLMs) fine-tuned on internal simulation codes with high-performance computing to interpret natural language and hand-drawn diagrams, generating full simulation decks for LLNL’s 3D multiphysics code MARBL. This enables rapid exploration of fusion capsule designs by running thousands of simulations on supercomputers such as El Capitan, the world’s fastest, and Tuolumne.
The AI system uses an Inverse Design Agent to convert human inputs into simulation parameters and a Job Management Agent to handle scheduling across HPC resources. This approach significantly compresses design cycles and expands the design space exploration from a handful of concepts to potentially thousands
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energyfusion-energyartificial-intelligencesupercomputingnuclear-researchinertial-confinement-fusionhigh-energy-density-physics