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

A group of female mathematicians and computer scientists, which includes PNNL’s Emilie Purvine, has published its third paper on joint research to understand and accurately represent object relationships through metric graphs.

PNNL’s Srinivas Katipamula and Nora Wang have received a Northwest Energy Efficiency Alliance award for contributing to the success of Seattle’s Building Tune-Up Accelerator Program.

Clarivate Analytics released its updated list of Highly Cited Researchers on November 18, 2019. 17 PNNL researchers made the list.

PNNL will lead three new grid modernization projects funded by the Department of Energy. The projects focus on scalability and usability, networked microgrids, and machine learning for a more resilient, flexible and secure power grid.

Retired PNNL scientist Doug Elliott has received the 2019 Don Klass Award for Excellence in Thermochemical Conversion Science from the Gas Technology Institute.

PNNL’s Nuclear Process Science Initiative (NPSI) has developed a book that examines processes used to separate nuclear materials.

WSU recently announced James Boncella will lead the WSU-PNNL Nuclear Science and Technology Institute.

At a conference featuring the most advanced computing hardware and software, ML in its various guises was on full display and highlighted by Nathan Baker’s featured invited presentation.

PNNL and Argonne researchers developed and tested a chemical process that successfully captures radioactive byproducts from used nuclear fuel so they could be sent to advanced reactors for destruction while also producing electrical power.

PNNL’s Intelligent Load Control technology manages and adjusts electricity use in buildings when there’s peak demand on the power grid.

Seventeen teams from regional colleges and universities gathered at PNNL Nov. 16 to put their cyber skills to the test by protecting critical energy infrastructure against simulated cyberattacks as part of DOE's CyberForce Competition.

PNNL research scientist Lysel Garavelli has been named an associate editor for the Marine and Coastal Fisheries Journal.

The Powering the Blue Economy Ocean Observing Prize is now accepting applications for its first stage, the Discover Competition.

Global climate change is often at the forefront of national and international discussions and controversies, yet many details of the specific contributing factors are poorly understood.

Advancements such as LEDs have changed consumers’ experience with lighting. Whereas there was once a simple choice of how much light a consumer desired, there’s now a variety of choices to be made about the appearance of light.

A new approach developed by PNNL scientists improves the accuracy of patient diagnosis up to 20 percent when compared to other embedding approaches.

Through her role in the Department of Energy’s Advanced Scientific Computing Research-supported ExaLearn project, Jenna Pope is developing deep learning approaches for finding optimal water cluster structures for a variety of applications.

In the third year of the DISCOVR Consortium project, the consortium team has identified an algal strain that progressed successfully through multiple evaluation phases.