PNNL has created and licensed a system that sniffs out trace levels of fentanyl, other drugs and explosives through the air.

PNNL is hosting a scientific conference focused directly on understanding and predicting the collection of an organism’s traits.

Circadian rhythms of blue-green microbes offer new window into predictive phenomics—how to predict and control the traits of an organism.

This week at AAAS, PNNL scientists discuss phenomics and the factors that influence DNA instructions to bring about the world around us.

A new analysis shows how renewable energy sources like solar, wind and hydropower respond to climate patterns, and how utilities can use this data to save money and invest in energy storage.

A new digital twin platform can help hydropower dam operators by providing accurate and predictive models of physical turbines that improve facilities and enhance reliability.

Scientists are developing ways to detect previously unseen forms of fentanyl as well as other synthetic opioids known as nitazenes.

Scientists plumbed the depths of nearly 3,000 soil samples from around the globe to compile the heftiest atlas of soil viruses ever created.

Although climate change may bring increased precipitation to many parts of the United States, some areas may face drier conditions and lower streamflow, resulting in decreased hydropower generation.

Scientists have developed a way to detect tiny amounts of hard-to-detect explosives more than eight feet away.

As launch time draws near, PNNL scientists are eager to explore how plants might grow in space, where the effect of gravity is substantially weaker.

Researchers will explore climate, pathogens and energy-efficient microelectronics using 3 million node hours on the nation’s supercomputers.

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.

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

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.

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.