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’s Nuclear Process Science Initiative (NPSI) has developed a book that examines processes used to separate nuclear materials.

PNNL and Argonne researchers developed and tested a chemical process that successfully captures radioactive byproducts from used nuclear fuel so they could be sent to advanced reactors for destruction while also producing electrical power.

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.

PNNL has what’s believed to be a Heisenberg Cube and uses it to help train international border guards to detect illicit nuclear material movement.

It’s hot in there! PNNL researchers take a close, but nonradioactive, look at metal particle formation in a nuclear fuel surrogate material. What they found will help fill knowledge gaps and could lead to better nuclear fuel designs.

Josef "Pepa" Matyas, a materials scientist in PNNL’s Nuclear Sciences Division, has been elected a fellow of the American Ceramic Society (ACerS). He will be recognized at the ACerS annual meeting on September 30, 2019, in Portland, Ore.

Xenon search successful! A new scanning transmission electron microscope helps PNNL researchers find xenon deep in a section of nuclear fuel cladding.

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.

PNNL's ultra pure copper and cooler part of search for answers about matter

PNNL scientists served as lead guest editors for a special issue of the Journal of Applied Radiation and Isotopes.

Scientist-detectives put themselves to the test.