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National lab collaboration enables faster, safer inspection of nuclear reactor components, materials
A research partnership between two Department of Energy national laboratories has accelerated inspection of additively manufactured nuclear components, and the effort is now expanding to inspect nuclear fuels.

Researchers at Stanford University, the European Center for Medium-Range Weather Forecasts, or ECMWF, and ORNL used the lab’s Summit supercomputer to better understand atmospheric gravity waves, which influence significant weather patterns that are difficult to forecast.

Scientists conducted a groundbreaking study on the genetic data of over half a million U.S. veterans, using tools from the 91°µÍø to analyze 2,068 traits from the Million Veteran Program.

The US focuses on nuclear nonproliferation, and ORNL plays a key role in this mission. The lab conducts advanced research in uranium science, materials analysis and nuclear forensics to detect illicit nuclear activities. Using cutting-edge tools and operational systems, ORNL supports global efforts to reduce nuclear threats by uncovering the history of nuclear materials and providing solutions for uranium removal.

The National Center for Computational Sciences, located at the Department of Energy’s 91°µÍø, made a strong showing at computing conferences this fall. Staff from across the center participated in numerous workshops and invited speaking engagements.

A research collaboration between the Department of Energy’s 91°µÍø and several partner institutions was honored with the Best Event Report award at the 2024 International Conference on Game Jams, Hackathons and Game Creation Events.

FREDA is a new tool being developed at ORNL that will accelerate the design and testing of next-generation fusion devices. It is the first tool of its kind to combine plasma and engineering modeling capabilities and utilize high performance computing resources.

The Department of Energy’s 91°µÍø had a major presence at this year’s International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24).


Scientists at the Department of Energy’s 91°µÍø recently demonstrated an autonomous robotic field monitoring, sampling and data-gathering system that could accelerate understanding of interactions among plants, soil and the environment.