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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.

11 - 20 of 219 Results

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. 

Frontier supercomputer is pictured here with the logo on the cabinets

A multi-institutional team of researchers led by the King Abdullah University of Science and Technology, or KAUST, Saudi Arabia, has been nominated for the Association for Computing Machinery’s 2024 Gordon Bell Prize for Climate Modelling. 

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.  

This is a simulated image of the project to build a new network that artificial intelligence and machine learning to steer experiments and analyze data faster and more accurately. will enable

To bridge the gap between experimental facilities and supercomputers, experts from SLAC National Accelerator Laboratory are teaming up with other DOE national laboratories to build a new data streaming pipeline. The pipeline will allow researchers to send their data to the nation’s leading computing centers for analysis in real time even as their experiments are taking place. 

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.

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. 

NCCS Director Arjun Shankar gives an update on the facility’s next high-performance computing system during the OLCF User Meeting on Sept. 10, 2024.   Credit: Kurt Weiss/ORNL, U.S. Dept. of Energy

The Oak Ridge Leadership Computing Facility welcomed users to an interactive meeting at the Department of Energy’s 91°µÍø from Sept. 10–11 for an opportunity to share achievements from the OLCF’s user programs and highlight requirements for the future.

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. 

Hard drive being pulled and put in recycle container.

The Summit supercomputer, once the world’s most powerful, is set to be decommissioned by the end of 2024 to make way for the next-generation supercomputer. Over the summer, crews began dismantling Summit’s Alpine storage system, shredding over 40,000 hard drives with the help of ShredPro Secure, a local East Tennessee business. This partnership not only reduced costs and sped up the process but also established a more efficient and secure method for decommissioning large-scale computing systems in the future.

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.