PNNL's ASSORT model will help airports balance passenger screening and security risks with throughput. It also quantifies risks for different traveler types and optimizes checkpoint operations, improving efficiency while enhancing safety.

Solid phase manufacturing can create new custom metal alloys through an innovative process called solid phase alloying, researchers from PNNL report.

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

A cross-institutional team of scientists developed PeakQC, a new software tool for automated quality control of mass spectrometry data.

At the 2024 Aviation Futures Workshop, researchers from PNNL joined other subject matter experts and representatives from the stakeholder community in reimagining the passenger experience.

Ljiljana Paša-Tolić, a PNNL fellow, is the recipient of the 2024 International Mass Spectrometry Foundation’s Jochen Franzen Award. 

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

At a one-day summit on PNNL’s Richland campus, scientists and engineers gather to hear from leaders and learn to lead others.

A team of researchers from Pacific Northwest National Laboratory and the Environmental Molecular Sciences Laboratory developed a new and flexible software tool called “Advanced Spectra PCA Toolbox.”

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

Three PNNL-affiliated researchers have been named fellows of the American Association for the Advancement of Science, the world’s largest multidisciplinary scientific society.

The 98th ACS Colloid and Surface Science Symposium will be co-organized by Shuai Zhang and Jim De Yoreo.

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.

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

PNNL scientists took thousands of measurements of firefighters in training to learn more about how the body responds to vigorous exercise.

PNNL’s software tool brings together artificial intelligence and satellite imagery to help responders assess damage and take action.

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

Through collaboration with the Department of Homeland Security Soft Target Engineering to Neutralize the Threat Reality Center of Excellence, PNNL is advancing research and development of tools and methodologies to protect crowded places.