Filter News
Area of Research
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Artificial Intelligence (7)
- (-) Grid (2)
- (-) Materials Science (16)
- (-) Microscopy (4)
- (-) Space Exploration (1)
- Advanced Reactors (1)
- Big Data (8)
- Bioenergy (1)
- Biomedical (5)
- Clean Water (1)
- Composites (1)
- Computer Science (28)
- Coronavirus (4)
- Cybersecurity (1)
- Energy Storage (4)
- Environment (4)
- Exascale Computing (3)
- Fusion (1)
- High-Performance Computing (1)
- Isotopes (2)
- Machine Learning (2)
- Mathematics (1)
- Nanotechnology (6)
- Neutron Science (6)
- Nuclear Energy (9)
- Physics (6)
- Polymers (3)
- Quantum Science (5)
- Security (1)
- Summit (9)
- Sustainable Energy (1)
- Transformational Challenge Reactor (2)
- Transportation (4)
Media Contacts
As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.
The formation of lithium dendrites is still a mystery, but materials engineers study the conditions that enable dendrites and how to stop them.
Liam Collins was drawn to study physics to understand “hidden things” and honed his expertise in microscopy so that he could bring them to light.
Scientists at have experimentally demonstrated a novel cryogenic, or low temperature, memory cell circuit design based on coupled arrays of Josephson junctions, a technology that may be faster and more energy efficient than existing memory devices.
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
The type of vehicle that will carry people to the Red Planet is shaping up to be “like a two-story house you’re trying to land on another planet.
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.
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 the shifting landscape of global manufacturing, American ingenuity is once again giving U.S companies an edge with radical productivity improvements as a result of advanced materials and robotic systems developed at the Department of Energy’s Manufacturing Demonstration Facility (MDF) at Oak Ridge National Laboratory.
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.