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.

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.

Pumped-storage hydropower offers the most cost-effective storage option for shifting large volumes of energy. A PNNL-led team wrote a report comparing cost and performance factors for 10 storage technologies.

Scientists at PNNL are bringing artificial intelligence into the quest to see whether computers can help humans sift through a sea of experimental data.

B3? E4? Remember the board game Battleship? One player suggests a set of coordinates to another, hoping to find the elusive location of an unseen vessel.That is a good place to start in assessing the search for dark matter.

We are all citizens of watersheds, the terrestrial landscapes that determine how much water we have, how clean it is, where it goes, and how fast.

In today’s digital age, the rabbit hole of connected information can be not only a time sink, but downright overwhelming. Even for high-performance computers.

Twenty-four analysts from U.S. intelligence organizations met in August for a machine learning activity with PNNL researchers Nicole Nichols, Jeremiah Rounds, Lawrence Phillips, and Brian Kritzstein.

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?

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

When two powerful earthquakes rocked southern California earlier this month, officials’ attention focused, understandably, on safety. How many people were injured? Were buildings up to code? How good are we at predicting earthquakes?

Too-tight proteins impede creation of crystalline enamel structure, which can lead to bad teeth

PNNL’s Janet Jansson is part of an international team of scientists warning scientists of the urgency to pay more attention to the role of microorganisms in our climate.

Scientists have taken one of the most detailed looks ever at levels of soluble amyloid beta in the brain.

PNNL scientist Wei-Jun Qian and colleagues have contributed to a study that offers clues for delaying or even preventing the autoimmune attack that’s at the core of type-1 diabetes.

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.

PNNL researchers today published a pair of papers, in Cell and in Nature, exploring the effects of the gut microbiome on our health, including autism, brain function, and inflammatory bowel disease.

His patents involve novel MS and IMS technologies that, in the end, have enabled a deeper understanding of living systems.

PNNL researchers have devised a way to measure and distinguish tiny amounts of phosphorylated proteins, an approach that could be used in research to help treat diseases such as diabetes and cancer.

The structure of a fundamental electrical switch in the brain has been revealed, thanks to PNNL researchers working together with counterparts at Oregon Health & Science University (OHSU).