
ORNL welcomed attendees to the inaugural Southeastern Quantum Conference, held Oct. 28 – 30 in downtown Knoxville, to discuss innovative ways to use quantum science and technologies to enable scientific discovery.
ORNL welcomed attendees to the inaugural Southeastern Quantum Conference, held Oct. 28 – 30 in downtown Knoxville, to discuss innovative ways to use quantum science and technologies to enable scientific discovery.
In early November, researchers at the Department of Energy’s Argonne National Laboratory used the fastest supercomputer on the planet to run the largest astrophysical simulation of the universe ever conducted.
The ForWarn visualization tool was co-developed by ORNL with the U.S. Forest Service. The tool captures and analyzes satellite imagery to track impacts such as storms, wildfire and pests on forests across the nation.
ORNL has been recognized in the 21st edition of the HPCwire Readers’ and Editors’ Choice Awards, presented at the 2024 International Conference for High Performance Computing, Networking, Storage and Analysis in Atlanta, Georgia.
Researchers at Oak Ridge National Laboratory used the Frontier supercomputer to train the world’s largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts.
A research team led by the University of Maryland has been nominated for the Association for Computing Machinery’s Gordon Bell Prize.
Verónica Melesse Vergara and Felipe Polo-Garzon, two staff members at ORNL have been honored with Luminary Awards from Great Minds in STEM, a nonprofit organization dedicated to promoting STEM careers in underserved communities.
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
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.