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.
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.
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.
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.
Scientists created a fast-track tutorial that equips a neural network to tackle drug discovery and other applications where there's a shortage of precisely labeled chemical data.
Aluminum oxyhydroxide (boehmite) nanoplatelets align and attach to form neatly ordered stacks, a novel findings that involves both experimental and computational research.
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.
