Filter News
Area of Research
- (-) Advanced Manufacturing (2)
- (-) Materials (7)
- (-) National Security (3)
- (-) Supercomputing (7)
- Clean Energy (11)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (6)
- Fusion Energy (5)
- Neutron Science (3)
- Nuclear Science and Technology (1)
- Quantum information Science (3)
News Topics
- (-) Artificial Intelligence (3)
- (-) Cybersecurity (3)
- (-) Environment (3)
- (-) Fusion (2)
- (-) Grid (2)
- (-) Machine Learning (1)
- (-) Quantum Science (4)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Big Data (3)
- Bioenergy (3)
- Biomedical (1)
- Clean Water (1)
- Composites (2)
- Computer Science (14)
- Energy Storage (4)
- Exascale Computing (1)
- Frontier (2)
- Isotopes (1)
- Materials Science (16)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (4)
- Neutron Science (5)
- Nuclear Energy (3)
- Physics (2)
- Polymers (1)
- Security (2)
- Space Exploration (1)
- Summit (5)
- Sustainable Energy (5)
- Transportation (5)
Media Contacts
Researchers used neutron scattering at Oak Ridge National Laboratory’s Spallation Neutron Source to investigate the effectiveness of a novel crystallization method to capture carbon dioxide directly from the air.
Gleaning valuable data from social platforms such as Twitter—particularly to map out critical location information during emergencies— has become more effective and efficient thanks to Oak Ridge National Laboratory.
Scientists have tested a novel heat-shielding graphite foam, originally created at Oak Ridge National Laboratory, at Germany’s Wendelstein 7-X stellarator with promising results for use in plasma-facing components of fusion reactors.
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.