Filter News
Area of Research
- (-) National Security (11)
- Biology and Environment (101)
- Biology and Soft Matter (1)
- Clean Energy (67)
- Climate and Environmental Systems (5)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Isotopes (1)
- Materials (44)
- Materials for Computing (5)
- Mathematics (1)
- Neutron Science (12)
- Nuclear Science and Technology (1)
- Supercomputing (55)
News Type
News Topics
- (-) Chemical Sciences (2)
- (-) Environment (5)
- (-) High-Performance Computing (4)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Big Data (6)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Climate Change (5)
- Computer Science (19)
- Coronavirus (2)
- Cybersecurity (19)
- Decarbonization (2)
- Energy Storage (2)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- Grid (6)
- Machine Learning (12)
- Materials (2)
- Materials Science (3)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (4)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (1)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Summit (2)
- Sustainable Energy (3)
- Transportation (2)
Media Contacts
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.