In recognition of Nuclear Science Week on Oct. 19-23, Pacific Northwest National Laboratory reflects on more than half a century of advancing nuclear science for the nation’s energy, environment, and security frontiers.
PNNL’s expertise is the foundation for monitoring technology that identifies trace amounts of radioactive materials and determines whether they are indicative of a nuclear explosion.
Scientists at PNNL have contributed much of the nuclear science that underlies an international monitoring system designed to detect nuclear explosions worldwide. The system detects radioxenon anywhere on the planet.
A team of researchers is working to expand our uranium chemistry understanding using a surprising tool: lasers. This capability gives never-before-seen insight into uranium gas-phase oxidation during nuclear explosions.
The world’s largest scientific society honored Sue B. Clark, a PNNL and WSU chemist, for contributions toward resolving our legacy of radioactive waste, advancing nuclear safeguards, and developing landmark nuclear research capabilities.
PNNL researchers demonstrated a nanoscale analysis tool to map isotopes to location in low-enriched uranium-molybdenum fuel plates for use in nuclear research reactors.
PNNL Laboratory Director Steve Ashby attended an event marking the 20th anniversary of the Department of Energy’s National Nuclear Security Administration Nuclear Smuggling Detection and Deterrence program.
Vietnam's Ministry of Science and Technology (MOST) Deputy Minister Pham Cong Tac awarded the Medal for the Cause of Science and Technology to PNNL's Todd Haynie.
Researchers used novel methods to safely create and analyze plutonium samples. The approaches could prove influential in future studies of the radioactive material, benefitting research in legacy, national security and nuclear fuels.
Peering through the thick, green glass of a decades-old "hot cell," an expert technician manipulates robotic arms to study highly radioactive waste from Hanford, in support of ongoing cleanup.
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.