Pacific Northwest National Laboratory is leading efforts to address next-generation computing’s critical role in protecting the nation from cybersecurity threats.

Despite a breadth of research on carbon accrual and persistence in soils, scientist lack a strong, general understanding of the mechanisms through which soil organic carbon (SOC) is destabilized in soils. In a new review article, researcher

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.

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.

PNNL moves laboratory technologies to the commercial sector and is honored by the FLC for excellence in technology transfer.

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

A unique strategy sharpens understanding of the behavior and physics within the model’s atmospheric component.

Understanding the functional traits of Arctic and alpine tundra plant communities will enable better model projections of how they transform in warmer conditions.

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

Chris Deeney is the National Security Directorate's new chief science and technology officer.

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