Complex metal alloys enter a new era of predictive design for aerospace and other high-temperature applications.

A nontoxic separation process recovers critical minerals from electronic scrap waste.

A new iron-based aqueous flow battery shows promise for grid energy storage applications.

PNNL scientists have put forth a new approach to protect the electric grid, creating an approach that sorts and prioritizes cyber threats on the fly.

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.

Scientists stop the motion of atoms to watch electrons move in liquid water.

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

The convergence of artificial intelligence, cloud, and high-performance computing to accelerate scientific discovery is the focus of a multi-year collaboration between Microsoft and PNNL.

A newly developed, highly conductive copper wire could find applications in the electric grid, as well as in homes and businesses. The finding defies what's been thought about how metals conduct electricity.

PNNL has created the Center for AI @PNNL to coordinate the pioneering research of hundreds of scientists working on a range of projects in artificial intelligence.

Understanding the risk of compound energy droughts—times when the sun doesn’t shine and the wind doesn’t blow—will help grid planners understand where energy storage is needed most.

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

Clean hydrogen energy infrastructure is coming to the Pacific Northwest with a newly announced hydrogen hub, and PNNL experts are advising the work to come.

Rechargeable battery performance could be improved by a new understanding of how batteries work at the molecular level. Researchers at PNNL upend what's known about how rechargeable batteries function.

Newly developed ultra-low radiation cables reduce background noise for neutrino and dark matter detectors.

PNNL is collaborating with Microsoft, Micron and other partners to make computational chemistry broadly available.

A new flow battery design achieves long life and capacity for grid energy storage from renewable fuels.

Researchers have knitted together three large databases of information to help cybersecurity experts detect and prevent attacks.

The PNNL-patented ShAPE™ manufacturing process produces high-strength aluminum vehicle parts that lower costs and are more environmentally friendly.

Scientists have taken a key step toward harnessing a form of AI known as deep reinforcement learning to protect computer networks.