LLNL Uses HPC to Push Fusion Target Design with AI

LLNL deploys AI agents for fusion target design on supercomputers

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… The post LLNL touts AI agent to help with fusion target desi…

LLNL Uses HPC to Push Fusion Target Design with AI

Researchers at Lawrence Livermore National Laboratory (LLNL) say they have reached a milestone in combining AI with fusion target design by deploying AI agents on two supercomputers to automate and accelerate inertial confinement fusion .... The post LLNL Uses HPC to Push Fusion Target Design with AI appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.