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.

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.

Researchers at PNNL are developing a new class of acoustically active nanomaterials designed to improve the high-resolution tracking of exploratory fluids injected into the subsurface. These could improve subsurface geophysical monitoring.

"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.

An International Atomic Energy Agency effort, chaired by PNNL's Mike Truex, will help inform the process for achieving successful end states at contaminated sites worldwide.

The vast reservoir of carbon stored beneath our feet is entering Earth's atmosphere at an increasing rate, according to a new study in the journal Nature.

Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.