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.

LLNL and the Extreme Light Infrastructure (ELI) European Research Infrastructure Consortium (ERIC) have signed a new Memorandum of Understanding that builds on their existing strategic collaboration for scientific research and laser innovation.

In a recent study, published in Nature, an international team including LLNL researchers experimentally measured the structure of liquid carbon for the first time.

A new cancer drug candidate developed by LLNL and collaborators demonstrates the ability to block tumor growth without triggering a common and debilitating side effect.