Filter News
Area of Research
- (-) Supercomputing (17)
- Advanced Manufacturing (3)
- Biology and Environment (5)
- Clean Energy (28)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Materials (19)
- Materials for Computing (4)
- National Security (4)
- Neutron Science (4)
- Quantum information Science (1)
- Sensors and Controls (2)
News Topics
- (-) Artificial Intelligence (10)
- (-) Big Data (4)
- (-) Grid (1)
- (-) Microscopy (2)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Bioenergy (2)
- Biology (1)
- Biomedical (3)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (3)
- Computer Science (43)
- Coronavirus (2)
- Critical Materials (1)
- Cybersecurity (4)
- Energy Storage (3)
- Environment (8)
- Exascale Computing (2)
- Frontier (5)
- High-Performance Computing (10)
- Machine Learning (1)
- Materials Science (4)
- Nanotechnology (2)
- National Security (1)
- Neutron Science (3)
- Nuclear Energy (2)
- Physics (3)
- Polymers (1)
- Quantum Computing (5)
- Quantum Science (8)
- Space Exploration (2)
- Summit (16)
- Sustainable Energy (3)
- Transportation (3)
Media Contacts
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
For nearly three decades, scientists and engineers across the globe have worked on the Square Kilometre Array (SKA), a project focused on designing and building the world’s largest radio telescope. Although the SKA will collect enormous amounts of precise astronomical data in record time, scientific breakthroughs will only be possible with systems able to efficiently process that data.
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
Processes like manufacturing aircraft parts, analyzing data from doctors’ notes and identifying national security threats may seem unrelated, but at the U.S. Department of Energy’s Oak Ridge National Laboratory, artificial intelligence is improving all of these tasks.
In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.
More than 6,000 veterans died by suicide in 2016, and from 2005 to 2016, the rate of veteran suicides in the United States increased by more than 25 percent.