PNNL will lead three new grid modernization projects funded by the Department of Energy. The projects focus on scalability and usability, networked microgrids, and machine learning for a more resilient, flexible and secure power grid.
Seventeen teams from regional colleges and universities gathered at PNNL Nov. 16 to put their cyber skills to the test by protecting critical energy infrastructure against simulated cyberattacks as part of DOE's CyberForce Competition.
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.
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.
The U.S. Nuclear Regulatory Commission, U.S. Army Corps of Engineers, and PNNL partnered to complete—in record time—an environmental impact statement for the nation’s first small modular nuclear reactor, to be sited at Clinch River, Tenn.
In one of the largest blockchain grid-cyber projects of its kind, PNNL is working with a network of industry partners to test and demonstrate blockchain’s ability to increase the cybersecurity resilience of power grid.
In November, Northeastern University Seattle (NU-Seattle) hosted "Smart Cities: Critical Infrastructure Protection" to explore technology and policy opportunities and challenges facing the smart city evolution.
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.
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.