Filter News
Area of Research
- (-) National Security (12)
- Advanced Manufacturing (4)
- Biological Systems (2)
- Biology and Environment (122)
- Biology and Soft Matter (1)
- Clean Energy (99)
- Climate and Environmental Systems (5)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Isotopes (1)
- Materials (39)
- Materials for Computing (3)
- Mathematics (1)
- Neutron Science (12)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Supercomputing (48)
News Topics
- (-) Bioenergy (3)
- (-) Environment (5)
- (-) Exascale Computing (1)
- (-) Partnerships (4)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Big Data (6)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (19)
- Coronavirus (2)
- Cybersecurity (19)
- Decarbonization (2)
- Energy Storage (2)
- Frontier (1)
- Fusion (1)
- Grid (6)
- High-Performance Computing (4)
- Machine Learning (12)
- Materials (2)
- Materials Science (3)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (4)
- Nuclear Energy (5)
- Physics (1)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Summit (2)
- Sustainable Energy (3)
- Transportation (2)
Media Contacts
An analysis published in the Proceedings of the National Academy of Sciences and led by researchers from the U.S. Department of Energy’s Oak Ridge National Laboratory has received the 2021 Sustainability Science Award from the Ecological Society of America.
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.