Filter News
Area of Research
News Topics
- (-) Computer Science (20)
- (-) Grid (3)
- (-) Microscopy (7)
- (-) Polymers (1)
- (-) Sustainable Energy (14)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (1)
- Artificial Intelligence (8)
- Big Data (6)
- Bioenergy (17)
- Biology (16)
- Biomedical (5)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (4)
- Clean Water (4)
- Climate Change (21)
- Composites (1)
- Coronavirus (3)
- Cybersecurity (3)
- Decarbonization (14)
- Energy Storage (5)
- Environment (33)
- Exascale Computing (4)
- Frontier (4)
- Fusion (4)
- High-Performance Computing (7)
- Hydropower (3)
- Isotopes (1)
- ITER (1)
- Machine Learning (5)
- Materials (8)
- Materials Science (5)
- Mercury (2)
- Nanotechnology (4)
- National Security (7)
- Net Zero (2)
- Neutron Science (7)
- Nuclear Energy (8)
- Partnerships (1)
- Physics (3)
- Quantum Computing (5)
- Quantum Science (5)
- Security (2)
- Simulation (3)
- Space Exploration (1)
- Summit (8)
- Transportation (6)
Media Contacts
Ionic conduction involves the movement of ions from one location to another inside a material. The ions travel through point defects, which are irregularities in the otherwise consistent arrangement of atoms known as the crystal lattice. This sometimes sluggish process can limit the performance and efficiency of fuel cells, batteries, and other energy storage technologies.
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.