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ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.

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Picture shows magnetic domains in uranium with a blue and orange organic shapes, similar to lava flowing through water, but in graphic form

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. 

Researcher in a blue coat and glasses, purple gloves and white baseball gat pulls out materials from a metal canister

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

Image of Stable Isotope Production and Research Facility

The Department of Energy has awarded an $88.8 million contract to Hensel Phelps for the construction of a facility to enrich stable isotopes at Oak Ridge National Laboratory. 

Members of the target design team pose next to the 2.0-megawatt-capable mercury flow target they developed.

The Proton Power Upgrade project at ORNL's Spallation Neutron Source has achieved its final key performance parameter of 1,250 hours of neutron production at 1.7 megawatts of proton beam power on a newly developed target. 

Pictured is the IMAGINE instrument at the High Flux Isotope Reactor

Biochemist David Baker — just announced as a recipient of the Nobel Prize for Chemistry — turned to the High Flux Isotope Reactor (HFIR) at Oak Ridge National Laboratory for information he couldn’t get anywhere else. HFIR is the strongest reactor-based neutron source in the United States.  

This illustration demonstrates how atomic configurations with an equiatomic concentration of niobium (Nb), tantalum (Ta) and vanadium (V) can become disordered. The AI model helps researchers identify potential atomic configurations that can be used as shielding for housing fusion applications in a nuclear reactor. Credit: Massimiliano Lupo Pasini/ORNL, U.S. Dept. of Energy

A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.

ORNL's Spallation Neutron Source, the nation’s leading source of pulsed neutron beams for research, was recently restarted after nine months of upgrade work. Credit: ORNL, U.S. Dept. of Energy

ORNL's Spallation Neutron Source, the nation’s leading source of pulsed neutron beams for research, was recently restarted after nine months of upgrade work. 

Takeshi Egami stands at his workstation at ORNL’s Spallation Neutron Source where he used novel experimental methods to propose the density wave theory. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

Distinguished materials scientist Takeshi Egami has spent his career revealing the complex atomic structure of metallic glass and other liquids — sometimes sharing theories with initially resistant minds in the scientific community. 

dog

After retiring from Y-12, Scott Abston joined the Isotope Science and Engineering Directorate to support isotope production and work with his former manager. He now leads a team maintaining critical equipment for medical and space applications. Abston finds fulfillment in mentoring his team and is pleased with his decision to continue working.

ORNL scientists used molecular dynamics simulations, exascale computing, lab testing and analysis to accelerate the development of an energy-saving method to produce nanocellulosic fibers.

A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.