Filter News
Area of Research
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (4)
- (-) Biotechnology (1)
- (-) Clean Water (2)
- (-) Materials Science (1)
- (-) Space Exploration (1)
- (-) Summit (4)
- (-) Transportation (3)
- 3-D Printing/Advanced Manufacturing (5)
- Big Data (2)
- Bioenergy (4)
- Biomedical (2)
- Computer Science (11)
- Energy Storage (3)
- Environment (8)
- Exascale Computing (1)
- Grid (1)
- Machine Learning (1)
- Mercury (1)
- Nanotechnology (1)
- Neutron Science (4)
- Nuclear Energy (5)
- Physics (1)
- Quantum Science (2)
- Sustainable Energy (1)
Media Contacts
Materials scientists, electrical engineers, computer scientists, and other members of the neuromorphic computing community from industry, academia, and government agencies gathered in downtown Knoxville July 23–25 to talk about what comes next in
In Hong Wang’s world, nothing is beyond control. Before joining Oak Ridge National Laboratory as a senior distinguished researcher in transportation systems, he spent more than three decades studying the control of complex industrial systems in the United Kingdom.
Galigekere is principal investigator for the breakthrough work in fast, wireless charging of electric vehicles being performed at the National Transportation Research Center at Oak Ridge National Laboratory.
Environmental conditions, lifestyle choices, chemical exposure, and foodborne and airborne pathogens are among the external factors that can cause disease. In contrast, internal genetic factors can be responsible for the onset and progression of diseases ranging from degenerative neurological disorders to some cancers.
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.
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.