Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (4)
- (-) Computer Science (12)
- (-) Environment (3)
- (-) Quantum Science (1)
- Big Data (2)
- Bioenergy (1)
- Biomedical (1)
- Clean Water (1)
- Energy Storage (2)
- Exascale Computing (1)
- Machine Learning (1)
- Materials Science (1)
- Nanotechnology (1)
- Neutron Science (4)
- Nuclear Energy (2)
- Space Exploration (1)
- Summit (4)
- Transportation (2)
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.
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.
Long-haul tractor trailers, often referred to as “18-wheelers,” transport everything from household goods to supermarket foodstuffs across the United States every year. According to the Bureau of Transportation Statistics, these trucks moved more than 10 billion tons of goods—70.6 ...