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Media Contacts

ORNL, as a partner in the DOE’s Stor4Build Consortium, is co-leading research with several national laboratories to develop thermal energy storage to complement electrical battery storage and recently hosted a two-day workshop focused on advancing these technologies.


Maximiliano Ferrari, a researcher in the Grid Systems Architecture group at the Department of Energy’s Oak Ridge National Laboratory, has been elevated to prestigious senior membership in the Institute of Electrical and Electronics Engineers.

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 Oak Ridge National Laboratory, made a strong showing at computing conferences this fall. Staff from across the center participated in numerous workshops and invited speaking engagements.

ORNL’s National Security Sciences Directorate partnered with the University of Tennessee’s Howard H. Baker Jr. School of Public Policy and Public Affairs to develop a graduate certificate in nuclear security that launched in the fall of 2024.

A research collaboration between the Department of Energy’s Oak Ridge National Laboratory 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.

Since their establishment in 2020, the five DOE National Quantum Information Science Research Centers have been expanding the frontier of what’s possible in quantum computing, communication, sensing and materials in ways that will advance basic science for energy, security, communication and logistics.

ORNL researchers created and tested two methods for transforming coal into the scarce mineral graphite, which is used in batteries for electric vehicles.

Researchers are using machine learning to provide a more complete picture of building geometries that include building height to within three meters of accuracy. This model not only provides building height for any building in the world, but it will also feed into LandScan and other large government datasets for planning and response.