In today’s digital age, the rabbit hole of connected information can be not only a time sink, but downright overwhelming. Even for high-performance computers.
Francesca Grogan grew up in Southern California, gravitated to competitive swimming, and chose to stay close to her geographical roots for her undergraduate and postgraduate studies.
Trouble on the electric grid might start with something relatively small: a downed power line, or a lightning strike at a substation. What happens next?
The ANS award will be presented at the Global Top Fuel 2019 Conference this September in Seattle, and comes amid several recent recognitions for Paviet.
Network Collapse, a virtual reality science, technology, engineering, and mathematics (STEM) app developed by PNNL researchers, has won a Gold Award from the 2019 International Serious Play Award.
A radioactive chemical called pertechnetate is a bad actor when it’s in nuclear waste tanks. But researchers at PNNL and the University of South Florida have a new lead on how to selectively separate it from the nuclear waste for treatment.
Researchers at PNNL are applying deep learning techniques to learn more about neutrinos, part of a worldwide network of researchers trying to understand one of the universe’s most elusive particles.
Frannie Smith, a chemist specializing in nuclear waste management and disposal, was recognized as a "Notable Woman in STEM" for 2019 by the nonprofit Washington STEM program.
Installing new access holes (up to 6 feet in diameter) could reduce the overall time and cost to retrieve waste from Hanford's underground storage tanks, according to a structural analysis of the tank domes by PNNL and Becht Engineering.
"It's sort of like using infrared goggles to see heat signatures in the dark, except this is underground." PNNL and CHPRC implemented a state-of-the-art approach to monitor the process of remediating residual uranium at Hanford's 300 Area.
Aluminum oxyhydroxide (boehmite) nanoplatelets align and attach to form neatly ordered stacks, a novel findings that involves both experimental and computational research.
