Research published in Journal of Manufacturing Processes demonstrates innovative single-step method to manufacture oxide dispersion strengthened copper materials from powder.
Steven Spurgeon’s research is featured in the cover of the MRS Bulletin along with his team’s invited perspective on the future of machine learning for electron and scanning probe microscopy.
A PNNL team developed and used a model framework to understand the performance and structural reliability of a state-of-the-art solid oxide electrolysis cell design.
As leaders in AI and machine learning, PNNL experts are sharing their latest findings at the 36th annual Neural Information Processing Systems (NeurIPS) Conference, Nov. 28–Dec. 9, 2022.
Scientists are pioneering approaches in the branch of artificial intelligence known as machine learning to design and train computer software programs that guide the development of new manufacturing processes.
The American Chemical Society Richland Section has been recognized by its national organization with the Best Overall Section Minority Affairs award for 2022.
Plastic upcycling efficiently converts plastics to valuable commodity chemicals while using less of the precious metal ruthenium. The method could recycle waste plastic pollution into useful products, helping keep it out of landfills.
A process developed at PNNL that converts biomass and waste into a chemical intermediate or into gasoline, diesel, and jet fuel is available for commercial licensing.
A paper from PNNL and Southern California Edison describing new methodologies for assessing electric vehicle impacts to the grid was selected as a best paper by IEEE.