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.

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

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 formulated a new type of dual-ion cell chemistry that uses a zinc anode and a natural graphite cathode in an aqueous—or “water-in-bisalt”—electrolyte.

As a member of the NAM board of directors, Brett Jefferson, PNNL data scientist, will help lead the professional association’s mission to advance mathematical excellence of underrepresented minorities.

New Distinguished Graduate Research Program will provide opportunities for North Carolina State University doctoral students to tackle real-world data science challenges alongside PNNL scientists.

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

Joseph Williams, PNNL Seattle Research Center director, was elected chair of the Institute of Electrical and Electronic Engineer’s Seattle section.

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.

Data Scientist Sam Chatterjee to chair security and defense specialty group of the Society for Risk Analysis.

Connected moments math shortcut shaves time and cost of quantum calculations while maintaining accuracy.

Through two U.S. Department of Energy funding calls awarded in 2020, PNNL is partnering with industry and academia to advance battery materials and processes.

Despite the challenges, the talented and dedicated staff at Pacific Northwest National Laboratory kept delivering for the nation.

Long-term PNNL support has helped enable the continued success of the Chesapeake Large-Scale Analytics Conference.

Using public data from the entire 1,500-square-mile Los Angeles metropolitan area, PNNL researchers reduced the time needed to create a traffic congestion model by an order of magnitude, from hours to minutes.

Magazine cover article—“Combating corrosion in the world’s nuclear reactors”—features PNNL research leaders Mark Nutt, Aaron Diaz, and Mychailo Toloczko.

PNNL researchers have shown an improved binarized neural network can deliver a low-cost and low-energy computation to help the performance of smart devices and the power grid.

Ken Geelhood is a nuclear engineer who is studying how the challenging conditions of a nuclear reactor affect the reliability of fuel.

PNNL and Microsoft Quantum partner to link quantum circuits to powerful government supercomputers.