PNNL researchers demonstrate high-purity production of two essential gases to ensure a U.S. domestic feedstock for advanced quantum computing.

A recent article highlighted a PNNL report focused on post-quantum cryptography and electric vehicle charging infrastructure.

RemPlex 2025 Global Summit on Environmental Remediation attendees share knowledge about cleanup and monitoring of complex sites worldwide; more than 100 presentations are posted online.

Pacific Northwest National Laboratory scientists envision new research frontiers at the intersection of biology and AI

PNNL is central to the Genesis Mission, leading and participating in projects central to the nation’s security and international competitiveness.

Connecting energy generation, electricity storage, and using sensors and control software to track load, including precommercial market marine energy generation technologies.

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.

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.

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.

A new patent-pending technology can quickly identify refrigerant leakage in heating, cooling, and refrigeration systems.

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.

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.

An approach combining multiple theories increases the accuracy of quantum-based simulations without increasing computational demands.