Filter News
Area of Research
News Type
News Topics
- (-) Artificial Intelligence (3)
- (-) Biomedical (1)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (24)
- Advanced Reactors (1)
- Big Data (3)
- Bioenergy (3)
- Biology (6)
- Biotechnology (1)
- Buildings (11)
- Chemical Sciences (1)
- Clean Water (1)
- Climate Change (4)
- Composites (5)
- Computer Science (7)
- Coronavirus (3)
- Critical Materials (3)
- Cybersecurity (3)
- Decarbonization (5)
- Energy Storage (20)
- Environment (13)
- Grid (8)
- High-Performance Computing (5)
- Materials (17)
- Materials Science (6)
- Mathematics (1)
- Microscopy (1)
- Nanotechnology (2)
- National Security (4)
- Net Zero (1)
- Neutron Science (3)
- Nuclear Energy (1)
- Polymers (3)
- Security (2)
- Space Exploration (1)
- Statistics (1)
- Summit (1)
- Sustainable Energy (24)
- Transportation (16)
Media Contacts
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.