A research buoy managed by PNNL has been deployed in Hawai’ian waters, collecting oceanographic and meteorological measurements off the coast of O’ahu.
The work by the team at PNNL takes a critical step in leveraging ML to accelerate advanced manufacturing R&D, specifically for manufacturing techniques without access to efficient, first-principles simulations.
PNNL mathematician Aaron Luttman contributed to the organizing committee for workshop exploring robust machine learning and artificial intelligence systems for the U.S. Army.
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.
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.
PNNL researchers developed the dummy payload to evaluate the performance of marine energy device prototypes in the Powering the Blue Economy: Ocean Observing Prize Competition.
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.
A new, simple, and efficient flow-based method allows researchers to pull a useful magnesium salt from natural seawater using easily available chemicals.
A Triton Story highlights the Triton Initiative's holistic marine energy environmental monitoring research, including considerations for energy sustainability and life cycle assessment next steps.
Biomedical scientist George Bonheyo has been selected as chair of a new International Electrotechnical Commission committee charged with creating standards for researching and measuring biofouling on marine energy systems.
The Department of Energy Secretary Jennifer Granholm made her first in-person visit to PNNL, a leading center for scientific discovery and technical innovation in sustainable energy.