Filter News
Area of Research
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (24)
- (-) Big Data (10)
- (-) Computer Science (35)
- (-) Grid (4)
- (-) High-Performance Computing (2)
- (-) Machine Learning (4)
- (-) Neutron Science (18)
- (-) Quantum Science (10)
- Advanced Reactors (7)
- Artificial Intelligence (10)
- Bioenergy (11)
- Biology (3)
- Biomedical (13)
- Biotechnology (2)
- Chemical Sciences (4)
- Clean Water (4)
- Climate Change (3)
- Coronavirus (12)
- Cybersecurity (4)
- Energy Storage (12)
- Environment (23)
- Exascale Computing (3)
- Fusion (10)
- Isotopes (5)
- Materials (2)
- Materials Science (18)
- Mathematics (2)
- Mercury (2)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (2)
- Nuclear Energy (26)
- Physics (11)
- Polymers (2)
- Security (2)
- Space Exploration (2)
- Summit (11)
- Sustainable Energy (9)
- Transformational Challenge Reactor (3)
- Transportation (10)
Media Contacts
When Scott Smith looks at a machine tool, he thinks not about what the powerful equipment used to shape metal can do – he’s imagining what it could do with the right added parts and strategies. As ORNL’s leader for a newly formed group, Machining and Machine Tool Research, Smith will have the opportunity to do just that.
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.
Alex Roschli is no stranger to finding himself in unique situations. After all, the early career researcher in ORNL’s Manufacturing Systems Research group bears a last name that only 29 other people share in the United States, and he’s certain he’s the only Roschli (a moniker that hails from Switzerland) with the first name Alex.
A residential and commercial tower under development in Brooklyn that is changing the New York City skyline has its roots in research at the Department of Energy’s Oak Ridge National Laboratory.
Quantum experts from across government and academia descended on Oak Ridge National Laboratory on Wednesday, January 16 for the lab’s first-ever Quantum Networking Symposium. The symposium’s purpose, said organizer and ORNL senior scientist Nick Peters, was to gather quantum an...
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.