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

A breakthrough in electron microscopy based on deep learning can automatically visualize and identify areas of interest, helping to speed advances in materials science.

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

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

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.

From energy storage to cybersecurity, this 2023 wrap-up offers a glimpse of PNNL innovations with a seasonal twist.

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.

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.

Summer is for science! PNNL’s interns are diving into science and technology and getting a front-row view of the research and development of a national laboratory.

Scientists have developed a better way to recognize denial-of-service internet attacks, improving detection by 90 percent.

Workers feeling a specific form of stress are more likely than others to become the victims of a phishing attack, according to a new study.

PNNL researchers are helping to better define the need for grid energy storage in future clean energy scenarios, as well as working to improve technologies for storing renewable energy so it's available when and where it's needed.

By mimicking nature, scientists make a breakthrough in breaking down wood.

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.

A new method to convert waste plastic to fuel and raw materials promises to help close the carbon cycle at mild temperature and with high yield.

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

PNNL’s contributions over the last year span scientific discovery, sustainable energy and national security.

Ancient seawater pockets offer a new source of clues to climate change in vanished oceans and our own.

A new discovery simultaneously reduces the need for rare and expensive platinum and improves its ability to speed up economically important chemical reactions.