Filter News
Area of Research
- (-) Biology and Environment (1)
- (-) Supercomputing (12)
- Advanced Manufacturing (1)
- Clean Energy (14)
- Climate and Environmental Systems (2)
- Computational Engineering (1)
- Computer Science (5)
- Fusion Energy (4)
- Materials (10)
- National Security (1)
- Neutron Science (7)
- Nuclear Science and Technology (3)
- Quantum information Science (3)
News Topics
- (-) Advanced Reactors (1)
- (-) Big Data (4)
- (-) Environment (3)
- (-) Grid (1)
- (-) Physics (1)
- (-) Quantum Science (4)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (6)
- Bioenergy (2)
- Biomedical (2)
- Computer Science (23)
- Cybersecurity (2)
- Energy Storage (1)
- Exascale Computing (2)
- Frontier (2)
- Materials Science (1)
- Nanotechnology (1)
- Neutron Science (1)
- Nuclear Energy (2)
- Security (1)
- Space Exploration (2)
- Summit (9)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
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.