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.

Rebecca O’Neil, a research principal in the Energy and Environment Directorate at PNNL, was invited to testify before the House Committee on Energy and Commerce’s Subcommittee on Energy.

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

Now, anyone can easily explore and access data from a nationwide map of data centers, the infrastructure that powers them, and projections of future data center locations.

New report describes the steps utilities take before, during, and after a wildfire to strengthen their systems against future disasters.

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.

A modeling study shows that adding batteries to a dam could decrease the wear and tear on hydropower turbines and open up new opportunities for dam operators to earn revenue.

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

Van Cleve guides conversations on national grid modernization strategies, reinforcing PNNL’s role in connecting science, policy, and industry.

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.

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

Anthony Pugliese, director of the Department of Energy Office of Technology Commercialization, makes inaugural visit to PNNL.

The Scientific Discovery through Advanced Computing institute will focus on making scientific machine learning accessible to domain scientists.

GSL's utility-grade battery testing operation is now fully operational.

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.