Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (12)
- (-) Computer Science (35)
- (-) Machine Learning (5)
- (-) Physics (6)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (15)
- Advanced Reactors (7)
- Big Data (7)
- Bioenergy (9)
- Biomedical (5)
- Biotechnology (1)
- Clean Water (5)
- Composites (2)
- Cybersecurity (5)
- Energy Storage (8)
- Environment (19)
- Exascale Computing (2)
- Frontier (2)
- Fusion (5)
- Grid (5)
- Isotopes (1)
- Materials Science (20)
- Mercury (1)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (6)
- Neutron Science (18)
- Nuclear Energy (17)
- Polymers (2)
- Quantum Science (10)
- Space Exploration (4)
- Summit (9)
- Sustainable Energy (8)
- Transportation (12)
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.
Oak Ridge National Laboratory geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.