Twenty years of Livermore research has revealed the mechanisms behind plutonium’s slow migration through the environment.

Using a real-world application for quantum mechanics, Laboratory researchers are finding ways to make hydrogen fuel tanks more efficient.

Livermore researchers are developing a simple, yet powerful, health assessment tool for use on the battlefield, in space, or in other isolated settings.

Livermore’s Inertial Confinement Fusion program brings unparalleled value to the nation.

New research shows that naturally occurring climate variations help to explain a long-standing difference between climate models and satellite observations of global warming.

Livermore scientists have developed a new framework and an accompanying visualization tool that leverages deep reinforcement learning for symbolic regression problems,

Wthin the last 1.1 million years, Greenland had thriving vegetation and ecosystems.

Researchers have shown how applying pressure to a specific thermoelectric material, TiNiSn, increases its efficiency and leads to a structural phase transition.

Outgoing Director Goldstein has received honors from the Department of Energy and the National Nuclear Security Administration recognizing his accomplishments as a scientist, leader in national security, and director of LLNL.

New work by computer scientists at Livermore and IBM Research on deep learning models to accurately diagnose diseases from x-ray images won the Best Paper award for Computer-Aided Diagnosis at the SPIE Medical Imaging Conference.