Filter News
Area of Research
- (-) Neutron Science (9)
- (-) Supercomputing (26)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (28)
- Biology and Soft Matter (1)
- Clean Energy (59)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (20)
- Fusion Energy (4)
- Isotopes (5)
- Materials (16)
- Materials for Computing (1)
- National Security (9)
- Nuclear Science and Technology (17)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Biomedical (10)
- (-) Decarbonization (4)
- (-) Frontier (13)
- (-) Grid (1)
- (-) Nuclear Energy (3)
- Artificial Intelligence (22)
- Big Data (13)
- Bioenergy (5)
- Biology (6)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Clean Water (2)
- Climate Change (12)
- Computer Science (48)
- Coronavirus (7)
- Cybersecurity (2)
- Energy Storage (3)
- Environment (16)
- Exascale Computing (12)
- Fossil Energy (1)
- High-Performance Computing (20)
- Machine Learning (9)
- Materials (9)
- Materials Science (13)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (36)
- Physics (4)
- Polymers (1)
- Quantum Computing (10)
- Quantum Science (10)
- Security (2)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Sustainable Energy (3)
- Transportation (5)
Media Contacts
Researchers at the Department of Energy’s Oak Ridge National Laboratory, Pacific Northwest National Laboratory and Washington State University teamed up to investigate the complex dynamics of low-water liquids that challenge nuclear waste processing at federal cleanup sites.
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.