New research sheds light on the biomolecular dangers of night shift work.

Vigorous exercise burns fat more in males than in females, but the benefits of exercise are broad for both sexes.

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.

Scientists have learned more about how to protect the insulin-producing cells that die in patients with Type 1 diabetes.

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.

PNNL researchers helped identify a fragment from the SARS-CoV-2 virus that spurs severe illness.

Scientists have learned more about how drug resistance develops in patients with acute myeloid leukemia and how the process might be slowed.

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.

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.

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

Less pollution and the odd shapes of snow grains as they pack together should help cut the decline of snowpack later this century.

In a new paper, researchers point to three major efforts where the biggest climate mitigation gains stand to be realized: ramping up carbon dioxide removal, reigning in non-carbon dioxide emissions and halting deforestation.

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

Scientists have opened a new view into the workings of the central nervous system, finding a diverse set of important molecules.

Scientists have taken an important step forward in predicting who will develop Type 1 diabetes months before symptoms appear.

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

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

A detailed snapshot of proteins by PNNL scientists marks a big step toward a diagnostic blood test for a deadly form of liver disease.

Scientists can detect the virus that causes COVID-19 by using a bubble that spills its contents like a piñata when encountering the virus.

The Washington State Academy of Sciences added six people from PNNL to its 2022 class of inductees.