Filter News
Area of Research
- (-) Supercomputing (7)
- Biological Systems (1)
- Biology and Environment (13)
- Clean Energy (7)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (5)
- Fusion Energy (1)
- Isotopes (1)
- Materials (4)
- Materials for Computing (1)
- National Security (2)
- Neutron Science (4)
- Nuclear Science and Technology (3)
- Quantum information Science (2)
News Topics
- (-) Biomedical (2)
- (-) Exascale Computing (1)
- (-) Nuclear Energy (1)
- (-) Quantum Science (2)
- (-) Sustainable Energy (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (6)
- Big Data (2)
- Biology (1)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (2)
- Computer Science (18)
- Coronavirus (1)
- Energy Storage (1)
- Environment (6)
- High-Performance Computing (6)
- Materials Science (2)
- Microscopy (1)
- Nanotechnology (2)
- Neutron Science (2)
- Physics (1)
- Quantum Computing (1)
- Security (1)
- Space Exploration (1)
- Summit (6)
- Transportation (1)
Media Contacts
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
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.
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
By analyzing a pattern formed by the intersection of two beams of light, researchers can capture elusive details regarding the behavior of mysterious phenomena such as gravitational waves. Creating and precisely measuring these interference patterns would not be possible without instruments called interferometers.