PNNL researchers are using explainable artificial intelligence to develop new ways to understand and interpret data for national security.

PNNL’s cultural resources team has worked on Tribal relations projects across the U.S. to navigate potential impacts of complex energy siting efforts.

For the second straight year, PNNL researchers are featured in a special edition of the Journal of Information Warfare. This issue explores the topic of macro cyber resiliency.

Three unused, 48,000-pound stainless steel canisters arrived at PNNL, bringing the chance to deepen research in spent nuclear fuel storage and transportation.

One year ago, Verizon announced a partnership that made PNNL the U.S. Department of Energy’s first national laboratory with Verizon 5G ultra-wideband wireless technology.

Explainable artificial intelligence—understanding and explaining the reasoning behind AI decisions—is a necessity for national security.

Developing solutions and capabilities to advance environmental justice with 25 years of hands-on, multidisciplinary experience nationwide.

Michael Henry, a senior data scientist at PNNL, has accepted a joint appointment at the Texas A&M University RELLIS Center for Applied Research and Experiential Learning.

On the looming 10th anniversary of the Fukushima disaster at the Daiichi Power Station in Japan, PNNL looks back at the science and solidarity it has shared with Fukushima and its nuclear cleanup effort.

Innovative technology combines continuous, remote, real-time testing and monitoring of byproduct gasses, paving the way for faster advanced reactor development and testing.

Fifty-eight PNNL staff members were recognized as members of enterprise-wide teams that helped address challenges in national health and security through transformative science and technology solutions.

Explainable AI helps scientists understand and untangle the threads of information that the system uses to make choices or recommendations.

PNNL data scientists Henry Kvinge and Ted Fujimoto presented their research on few-shot learning and reinforcement learning, respectively, at workshops during the 2021 AAAI Conference on Artificial Intelligence.

PNNL radiochemist and research manager Patricia Paviet named National Technical Director for the Molten Salt Reactor (MSR) Program by the U.S. Department of Energy’s Office of Nuclear Energy.

PNNL streamlines environmental review process for advanced reactors, saving years and millions of dollars toward deployments of new nuclear power projects.

In 2020, virtual Washington State University teams successfully worked together in a program sponsored by the National Nuclear Security Administration’s (NNSA) Office of International Nuclear Safeguards.

New approach allows nonexperts to optimize control of a building's energy systems without adding computing power or proprietary software.

Klymyshyn was recognized as “Engineer of the Year” by the American Society of Mechanical Engineers, Columbia Basin Section for his technical, professional, and community contributions.

The partnership to apply artificial intelligence to improve complex systems is part of a U.S. Department of Energy Office of Science $4.2 million, three-year grant.

PNNL scientists joined international leaders in artificial intelligence research to discuss the latest advances, opportunities, and challenges for neural information processing—the foundation for AI.