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.
July in the Tri-Cities usually brings sunny skies, hot weather and high demand for electricity as many of us retreat to air-conditioned homes and offices.
Cybersecurity is increasingly top-of-mind and in the news. Individuals worry about identify theft and the compromise of financial and medical records. And the federal government battles myriad threats aimed at our national security.
Discovery in action. These words describe what we do at PNNL. For more than 50 years, we have advanced the frontiers of science and engineering in the service of our nation and the the world.
At the Department of Energy's Pacific Northwest National Laboratory, we are developing sophisticated mathematical techniques and software tools to securely manage and analyze vast amounts of data.