Researchers at LLNL have developed a new detector, CHICOX (Compact Heavy Ion Counter version X), that opens up a new era of extremely sensitive studies of nuclear shapes.

LLNL Director Kim Budil announced in September that the 2026 John S. Foster Jr. Medal has been awarded to Richard L. Wagner Jr., a physicist whose career has shaped U.S. nuclear deterrence, from weapon design and underground testing to arms control, missile defense and counterterrorism policy.

LLNL scientist Jennifer Pett-Ridge has been named a 2026 fellow of the American Geophysical Union (AGU). AGU is a global community supporting more than half a million advocates and professionals in the Earth and space sciences.

Lawrence Livermore National Laboratory engineer Christopher Spadaccini is one of 23 inaugural recipients of the University of California Regents Innovation Awards.

Researchers at LLNL have developed a solid-state bioreactor that can convert methane into succinate, a valuable chemical used to make polymers, stabilize drugs, enhance food flavor and beyond.

LLNL will provide an advanced tri-optical imaging payload for the CAPSTONE 02 spacecraft. Led by Advanced Space’s mission-integration team, CAPSTONE 02 will demonstrate and characterize capabilities needed for future operations in the complex cislunar environment.

LLNL is poised to learn much more about the gut and its pivotal role, thanks to a breakthrough by a team of researchers who replicated the gut in three dimensions, with all its spectacular architecture and activity, on a fluidic chip the size of a microscope slide.

Natural gas and renewable energy consumption reached record levels in the U.S. in 2024, while overall energy use increased modestly, according to the latest U.S. energy flow chart released by LLNL.

Four Lawrence Livermore National Laboratory researchers have been recognized as senior members of leading professional societies in optics and photonics, honoring their technical accomplishments, professional experience and service to the field.

Scientists and engineers at LLNL have developed a camera-based inspection system that can monitor complex 3D-printed structures layer by layer, using AI and machine learning (ML) to measure tiny variations and potentially identify problems before a part ever leaves the printer.