Filter News
Area of Research
News Type
News Topics
- (-) Cybersecurity (2)
- (-) Machine Learning (2)
- 3-D Printing/Advanced Manufacturing (14)
- Artificial Intelligence (1)
- Big Data (1)
- Bioenergy (3)
- Biology (2)
- Biomedical (2)
- Biotechnology (2)
- Buildings (12)
- Chemical Sciences (8)
- Clean Water (2)
- Climate Change (3)
- Composites (5)
- Coronavirus (2)
- Critical Materials (2)
- Decarbonization (15)
- Energy Storage (15)
- Environment (4)
- Fossil Energy (2)
- Grid (12)
- High-Performance Computing (1)
- Hydropower (1)
- Materials (14)
- Materials Science (6)
- Microelectronics (1)
- Microscopy (1)
- Nanotechnology (2)
- National Security (2)
- Net Zero (1)
- Neutron Science (26)
- Nuclear Energy (1)
- Partnerships (7)
- Physics (1)
- Polymers (1)
- Renewable Energy (1)
- Security (1)
- Simulation (2)
- Space Exploration (1)
- Sustainable Energy (5)
- Transportation (13)
Media Contacts
Carl Dukes’ career as an adept communicator got off to a slow start: He was about 5 years old when he spoke for the first time. “I’ve been making up for lost time ever since,” joked Dukes, a technical professional at the Department of Energy’s Oak Ridge National Laboratory.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine
Inspired by one of the mysteries of human perception, an ORNL researcher invented a new way to hide sensitive electric grid information from cyberattack: within a constantly changing color palette.