PNNL’s SHAD-TAGS+ allows researchers to monitor fish species to help inform energy project development.

A new digital twin platform can help hydropower dam operators by providing accurate and predictive models of physical turbines that improve facilities and enhance reliability.

Although climate change may bring increased precipitation to many parts of the United States, some areas may face drier conditions and lower streamflow, resulting in decreased hydropower generation.

The first-of-its kind vessel will allow researchers to transport large equipment and take measurements in near-silence with reduced impact on wildlife.

New software aids in modernizing the nation's irrigation systems.

Using public data from the entire 1,500-square-mile Los Angeles metropolitan area, PNNL researchers reduced the time needed to create a traffic congestion model by an order of magnitude, from hours to minutes.

The Federal Laboratory Consortium for Technology Transfer has honored three innovations at the U.S. Department of Energy’s Pacific Northwest National Laboratory.

Researchers at PNNL are contributing artificial intelligence, machine learning, and app development expertise to a U of W project that will ease challenges with urban freight delivery. The project will provide delivery drivers with a tool

At the center of many research teams are women — scientists and engineers who chase mystery and replace it with discoveries.