Filter News
Area of Research
- (-) Supercomputing (43)
- Advanced Manufacturing (1)
- Biology and Environment (19)
- Clean Energy (40)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (19)
- Fusion Energy (9)
- Isotopes (3)
- Materials (20)
- Materials for Computing (2)
- National Security (35)
- Neutron Science (11)
- Nuclear Science and Technology (26)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (7)
- Sensors and Controls (1)
News Topics
- (-) Artificial Intelligence (22)
- (-) Grid (1)
- (-) Machine Learning (8)
- (-) National Security (3)
- (-) Nuclear Energy (3)
- (-) Quantum Science (13)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Big Data (17)
- Bioenergy (3)
- Biology (7)
- Biomedical (11)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (14)
- Computer Science (61)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Exascale Computing (13)
- Frontier (14)
- Fusion (1)
- High-Performance Computing (23)
- Materials (5)
- Materials Science (9)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- Net Zero (1)
- Neutron Science (6)
- Physics (3)
- Polymers (2)
- Quantum Computing (14)
- Security (1)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Summit (27)
- Sustainable Energy (4)
- Transportation (4)
Media Contacts
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.