Machine learning techniques are accelerating the development of stronger alloys for power plants, which will yield efficiency, cost, and decarbonization benefits.
PNNL’s Framework for Assessment of Complex Environmental Tradeoffs helps navigate and evaluate competing environmental, economic, and social impacts.
PNNL’s infrared pulsed heating technique reveals supercooled water’s weird behavior; opens door to other fluid studies at new Energy Sciences Center.
Risk analysis on the plutonium-fueled power system that supplies electricity to the Mars rover answered the “what if” nuclear safety questions for NASA.
PNNL’s cultural resources team has worked on Tribal relations projects across the U.S. to navigate potential impacts of complex energy siting efforts.
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 scientists joined international leaders in artificial intelligence research to discuss the latest advances, opportunities, and challenges for neural information processing—the foundation for AI.
Infusing data science and artificial intelligence into electron microscopy could advance energy storage, quantum information science, and materials design.
In recognition of Nuclear Science Week on Oct. 19-23, Pacific Northwest National Laboratory reflects on more than half a century of advancing nuclear science for the nation’s energy, environment, and security frontiers.