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.
A breakthrough in electron microscopy based on deep learning can automatically visualize and identify areas of interest, helping to speed advances in materials science.
Researchers seek to bring down costs, address potential environmental risks and maximize the benefits of harnessing wind energy above the deep waters of the Pacific.
Recognizing how innovation and clean technologies at the very edge of the grid can work together to transition the electricity system, PNNL takes a multidisciplinary approach to advancing and integrating renewable energy solutions.
Tools being developed at PNNL are helping the nation plan for, respond to and recover from severe storms and wildfires that could threaten critical energy systems.
When disaster strikes, first responders rush in to provide assistance. In addition to their courage and training, they depend on a panoply of technologies to do their jobs.
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.
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.