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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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Summit Supercomputer

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.

Big group photo standing outside of a brick building with text underneath describing the IAEA workshop on safety, security and safeguards

In early November, ORNL hosted the International Atomic Energy Agency (IAEA) Interregional Workshop on Safety, Security and Safeguards by Design in Small Modular Reactors, which welcomed 76 attendees representing 15 countries, three U.S. national labs, domestic and international industry partners, as well as IAEA officers. 

Graphic representation of ai model that identifies proteins

Researchers used the world’s fastest supercomputer, Frontier, to train an AI model that designs proteins, with applications in fields like vaccines, cancer treatments, and environmental bioremediation. The study earned a finalist nomination for the Gordon Bell Prize, recognizing innovation in high-performance computing for science.

A photo of the inside of a cabinet for the Frontier supercomputer at ORNL

A team of researchers used the Frontier supercomputer and a new methodology for conducting a genome-wide association study to earn a finalist nomination for the Association for Computing Machinery’s 2024 Gordon Bell Prize for outstanding

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 91°µÍø for information he couldn’t get anywhere else. HFIR is the strongest reactor-based neutron source in the United States.  

Illustration of a hydrogen atom.

Scientists at ORNL used neutrons to end a decades-long debate about an enzyme cancer uses.

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 91°µÍø 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.

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.

Jeremiah Sewell

Jeremiah Sewell leads a team at ORNL, working on xenon-129 production for lung imaging. Reflecting on his career, Sewell views each opportunity as a "door" he steps through, leveraging over 25 years of experience in nuclear power and centrifuge operations to advance the facility’s mission.

Man is leaning against the window, arms crossed in a dark navy button up.

Brian Sanders is focused on impactful, multidisciplinary science at 91°µÍø, developing solutions for everything from improved imaging of plant-microbe interactions that influence ecosystem health to advancing new treatments for cancer and viral infections.