PNNL was invited to participate on an expert panel with scientists, law enforcement officials, addiction experts, public health officials, and families.

Scientists are tapping earthquake data to develop a new AI foundation model called SeisModal.

Emilie Purvine, a chief data scientist at PNNL, was elected as a council member at large of the American Mathematical Society.

Secretary Wright visited PNNL's campus in Richland, Washington, late last year to meet with innovators in chemistry, biology, computing, and more.

Darío Gil, DOE's Undersecretary for Science, makes his inaugural visit to PNNL.

The PNNL-developed UF6 Gas Enrichment Sensor (UGES) prototype is the next generation of a previous enrichment monitoring device—namely the Online Enrichment Monitor. UGES will increase the accuracy of uranium measurements.

Maria Glenski has been recognized with the 2025 Gold Stevie Award for Mentor/Coach of the Year in the government or nonprofit category.

Scientists are using generative AI to improve cyber defenses, speeding up a process known as adversary emulation.

Delivering excellence in power systems and electric grid advancement earns two PNNLers the association’s top distinction.

Yong Wang will lead the Institute for Integrated Catalysis, advancing the science and technology of catalysis to address global challenges in energy resilience.

PNNL researchers Daniel Deng and Yehia Ibrahim join the 2025 class of National Academy of Inventors Fellows.

The Genesis Mission will mobilize the Department of Energy’s 17 National Laboratories, industry, and academia to build an integrated discovery platform.

Researchers at PNNL share a research- and practitioner-informed approach to assess the threat landscape, elicit and integrate feedback into solutions, and ultimately share outcomes with the emergency response and public safety community.

A low-temperature, single-stage catalytic process converts PVC and polyolefin into valuable alkanes.

PNNL researchers are opening up a new front in the fight to stop viral pathogens, protecting people against multiple viruses.

From developing new energy storage materials to revealing patterns of Earth’s complex systems, studies led by PNNL researchers are recognized for their innovation and influence.

AI for Good event commemorates 60 years of community engagement, features AI applications, and offers practical AI tools to empower people.

A study by researchers at PNNL assessed the feasibility of using strontium isotope ratios and an existing machine learning–based model to predict and verify a product’s source—in this case, honey.

PNNL brings its expertise to the space domain by joining an organization that facilitates collaboration across the global space industry.

A comprehensive investigation provides quantitative data on the interaction between zeolite pores and linear alcohols, with hydroxyl group interactions playing the largest role.