Artificial intelligence tools secure tomorrow’s electric grid
Filter News
Area of Research
News Type
News Topics
- (-) Summit (2)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (1)
- Artificial Intelligence (6)
- Big Data (6)
- Bioenergy (3)
- Biology (4)
- Biomedical (1)
- Biotechnology (1)
- Buildings (1)
- Climate Change (5)
- Computer Science (12)
- Coronavirus (2)
- Cybersecurity (11)
- Decarbonization (2)
- Energy Storage (1)
- Environment (4)
- Fusion (1)
- Grid (5)
- High-Performance Computing (3)
- Machine Learning (8)
- Materials (1)
- Materials Science (3)
- Nanotechnology (1)
- National Security (26)
- Neutron Science (4)
- Nuclear Energy (4)
- Partnerships (2)
- Physics (1)
- Quantum Science (1)
- Security (7)
- Simulation (1)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.