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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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Nine men are pictured here standing in front of a window, posing for a group photo with 5 standing and 4 sitting.

A research team led by the University of Maryland has been nominated for the Association for Computing Machinery’s Gordon Bell Prize. The team is being recognized for developing a scalable, distributed training framework called AxoNN, which leverages GPUs to rapidly train large language models.

Kathryn McCarthy, director of the US ITER Project is pictured here posing against a black background.

Kathryn McCarthy, director of the US ITER Project at the Department of Energy’s 91°µÍø, has been awarded the 2024 E. Gail de Planque Medal by the American Nuclear Society.

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. 

Image of Giuseppe Barca looking at two computer monitors, representing the team using Frontier to perform the first quantum chemistry calculations to exceed an exaflop.

Researchers led by the University of Melbourne, Australia, have been nominated for the Association for Computing Machinery’s 2024 Gordon Bell Prize in supercomputing for conducting a quantum molecular dynamics simulation 1,000 times greater in size and speed than any previous simulation of its kind.

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.

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.

Infuse logo

ORNL is the lead partner on five research collaborations with private fusion companies in the 2024 cohort of the Innovation Network for FUSion Energy, or INFUSE, program. These collaborative projects are intended to resolve technical hurdles and develop enabling technologies to accelerate fusion energy research in the private sector.

The Frontier supercomputer simulated magnetic responses inside calcium-48, depicted by red and blue spheres. Insights into the nucleus’s fundamental forces could shed light on supernova dynamics.

Nuclear physicists at the Department of Energy’s 91°µÍø recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus. 

A portrait of John Sanseverino.

John joined the MPEX project in 2019 and has served as project manager for several organizations within ORNL.