PNNL's “co-scientist” serves as a one-stop AI shop for accelerating scientific discovery. By leveraging AI agents, researchers can explore scientific databases, conduct analyses and request step-by-step plans for testing their hypotheses.
By combining computational modeling with experimental research, scientists identified a promising composition that reduces the need for a critical material in an alloy that can withstand extreme environments.
PNNL’s year in review includes highlights ranging from advancing soil science to understanding Earth systems, expanding electricity transmission, detecting fentanyl, and applying artificial intelligence to aid scientific discovery.
A breakthrough in electron microscopy based on deep learning can automatically visualize and identify areas of interest, helping to speed advances in materials science.
Many of us are looking forward to next month's Apple Cup as the Cougars and Huskies battle for regional pigskin pride. At PNNL, however, we strive to bring these gridiron competitors together to collaborate on research and development.
Thanksgiving is a time for us to reflect on our many blessings, and being a part of the Department of Energy's Pacific Northwest National Laboratory is one for which I am especially grateful.