Lawrence Livermore National Laboratory (LLNL) has deployed what it bills as the Multi‑Agent Design Assistant (MADA) to speed inertial confinement fusion (ICF) target design. The system couples large language models with LLNL’s 3D multiphysics code, MARBL. The goal? Automating the generation of simulation decks. Researchers run the agent framework on the El Capitan supercomputer, among … Continue reading LLNL touts AI agent to help with fusion target design