Filter News
Area of Research
- (-) Clean Energy (17)
- (-) National Security (3)
- (-) Quantum information Science (1)
- Advanced Manufacturing (1)
- Biology and Environment (5)
- Climate and Environmental Systems (2)
- Fusion Energy (3)
- Materials (7)
- Materials for Computing (1)
- Neutron Science (5)
- Nuclear Science and Technology (4)
- Supercomputing (11)
News Type
News Topics
- (-) Artificial Intelligence (2)
- (-) Cybersecurity (2)
- (-) Environment (14)
- (-) Machine Learning (4)
- (-) Molten Salt (1)
- (-) Quantum Science (2)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (2)
- Big Data (3)
- Bioenergy (6)
- Biology (1)
- Biomedical (1)
- Biotechnology (1)
- Chemical Sciences (2)
- Climate Change (7)
- Composites (1)
- Computer Science (10)
- Coronavirus (3)
- Decarbonization (1)
- Energy Storage (11)
- Exascale Computing (1)
- Grid (3)
- High-Performance Computing (1)
- Isotopes (1)
- Materials (2)
- Materials Science (6)
- Microscopy (2)
- Nanotechnology (4)
- National Security (2)
- Neutron Science (5)
- Nuclear Energy (2)
- Physics (1)
- Polymers (3)
- Security (1)
- Summit (2)
- Sustainable Energy (18)
- Transformational Challenge Reactor (2)
- Transportation (8)
Media Contacts
![A new computational approach by ORNL can more quickly scan large-scale satellite images, such as these of Puerto Rico, for more accurate mapping of complex infrastructure like buildings. Credit: Maxar Technologies and Dalton Lunga/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Puerto_Rico_Resflow9.png?h=a0a1befd&itok=5n2fss_e)
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.