Filter News
Area of Research
- (-) National Security (4)
- Advanced Manufacturing (1)
- Biology and Environment (14)
- Building Technologies (3)
- Clean Energy (34)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (5)
- Fusion and Fission (5)
- Fusion Energy (6)
- Materials (21)
- Materials for Computing (4)
- Mathematics (1)
- Neutron Science (2)
- Nuclear Science and Technology (5)
- Quantum information Science (3)
- Supercomputing (11)
News Topics
- (-) Machine Learning (2)
- (-) Quantum Science (1)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (2)
- Big Data (2)
- Climate Change (1)
- Computer Science (4)
- Coronavirus (1)
- Cybersecurity (5)
- Energy Storage (1)
- Environment (1)
- Grid (3)
- National Security (10)
- Nuclear Energy (1)
- Security (3)
- Sustainable Energy (1)
- Transportation (1)
Media Contacts
After completing a bachelor’s degree in biology, Toya Beiswenger didn’t intend to go into forensics. But almost two decades later, the nuclear security scientist at ORNL has found a way to appreciate the art of nuclear forensics.
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
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
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.