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.
A gathering of international experts in Portland, Oregon, explored the future of electron microscopy and surfaced potential solutions in areas including new instrument designs, high-speed detectors, and data analytics capabilities.
A multi-institute team develops an imaging method that reveals how uranium dioxide (UO2) reacts with air. This could improve nuclear fuel development and opens a new domain for imaging the group of radioactive elements known as actinides.
Researchers apply numerical simulations to understand more about a sturdy material and how its basic structure responds to and resists radiation. The outcomes could help guide development of the resilient materials of the future.
Researchers have come up with a new method for creating synthetic “colored” nanodiamonds, a step on the path to realization of quantum computing, which promises to solve problems far beyond the abilities of current supercomputers.
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.
PNNL scientists today unveiled an updated tool designed to help stakeholders assess the nation's preparedness for biological-based dangers, also known as biothreats.
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.
A recent study pinpointed the reaction front where lithium (Li) dendrites can come into contact with cathode materials. It also detailed the Li propagation pathway and reaction steps that lead to cathode failure.
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.
For the first time, researchers have created a gram of yellowcake — a powdered form of uranium used to produce fuel for nuclear power production — using modified acrylic fibers to extract it from seawater.
