ChatGrid™ is a practical application of the Department of Energy’s exascale computing efforts and offers a new experience in easy, intuitive, and interactive data interaction.

Results of the PR100 study outline near- and short-term strategies for Puerto Rico to achieve a renewable power grid by 2050.

Input from humans helps when deciding whether to trust the recommendations or decisions of a machine-learning system.

EGRASS helps prepare and fortify critical structures to protect against the worst consequences of new hurricanes.

Reimagining the United States power grid could save consumers $50 billion a year.

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

Scientist-detectives put themselves to the test.

Pointing the finger at chemical criminals: Several scientists from PNNL and other institutions will discuss new methods and approaches at the American Chemical Society's national meeting in San Francisco April 2-6.

Two teams honored for transferring PNNL developed technologies to market.

Nuisance alarm rates in radiation detectors at seaports and ports of entry are down significantly due to PNNL data analysis efforts that are saving time and money at the ports.