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

Researchers use multiomics to confirm role of lipid synthesis during infection, leading to model of how to restrict virus replication.

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.

PNNL offers a third-party testing environment to provide battery companies with independent data about their grid-scale systems.

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.

McDermott is co-chairing one of only five organized sessions at the annual Pacific Symposium on Biocomputing.

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

For nearly 20 years, PNNL has invested in a multidisciplinary effort to develop better batteries.

Pioneering autonomous science facility puts a big focus on tiny microbes and AI-driven science.

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.

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

Capturing protein structural changes in host cells exposes vulnerabilities exploited by viruses to hijack cellular machinery.

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.

PNNL researchers developed a new computational workflow to study day-to-night gene expression dynamics of cyanobacterium in real time.