JACS Au, an open-access journal from the American Chemical Society, has selected LLNL staff scientist Sichi Li to serve on its 2025–2026 Early Career Advisory Board. 

LLNL researchers have reached a milestone in combining AI with fusion target design by deploying AI agents to automate and accelerate inertial confinement fusion (ICF) experiments.

LLNL researchers create a droplet-based platform that uses ions to perform simple neuromorphic computations.

LLNL scientists develop a 3D quantum ghost imaging microscope — the first of its kind.

LLNL is selected to provide a new monolithic telescope for a responsive space mission that will launch as early as 2027.

Under the three-year DeNOVO project, LLNL and other institutions will apply high-performance computing and AI to push the boundaries of antibody design. 

In a study published in PNAS Nexus, LLNL researchers described how a new deep learning model is capable of predicting toxic plume behavior in just a few minutes. 

LLNL is partnering with Cornell University to build the Autonomous Alloy Prediction and EXperimentation (APEX) platform for 3D printing, grinding, polishing and characterizing alloy samples.

LLNL’s Principal Deputy for Computing Lori Diachin has been named one of HPCwire’s “35 Legends” for 2025.

LLNL scientists and Purdue University collaborators develop and demonstrate a high-throughput, automated mass spectrometry platform.