Energy storage is slowly shifting utility planning practices from the current paradigm, which ensures grid reliability by building reserve generation resources, to ensuring grid reliability by optimizing grid services.

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?

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.

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.

"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.

Society for Risk Analysis recognizes PNNL infrastructure network resilience collaboration with Northeastern University-Boston

Researchers at PNNL used key metrics to develop visualizations that show how the combined effects of climate change on hydropower and load influence the frequency, duration, and severity of power shortfalls.

PNNL's quantum information sciences capabilities get boost from DOE grant and new Microsoft partnership.

PNNL's VOLTTRON is available to developers as part of the Eclipse Foundation.

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

PNNL scientists have captured the most information about proteins from a single human cell, giving scientists one of their clearest looks yet at the molecular happenings inside a human cell.