Filter News
Area of Research
- (-) Clean Energy (12)
- (-) National Security (3)
- (-) Nuclear Science and Technology (19)
- Advanced Manufacturing (2)
- Biology and Environment (4)
- Fusion and Fission (4)
- Fusion Energy (3)
- Isotopes (3)
- Materials (10)
- Neutron Science (5)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Supercomputing (17)
News Topics
- (-) Big Data (4)
- (-) Clean Water (1)
- (-) Composites (1)
- (-) Isotopes (4)
- (-) Machine Learning (5)
- (-) Nuclear Energy (19)
- (-) Quantum Science (2)
- 3-D Printing/Advanced Manufacturing (20)
- Advanced Reactors (8)
- Artificial Intelligence (4)
- Bioenergy (9)
- Biology (1)
- Biomedical (3)
- Biotechnology (1)
- Chemical Sciences (2)
- Climate Change (7)
- Computer Science (14)
- Coronavirus (9)
- Cybersecurity (4)
- Decarbonization (1)
- Energy Storage (16)
- Environment (18)
- Exascale Computing (1)
- Fusion (6)
- Grid (6)
- High-Performance Computing (1)
- Materials (2)
- Materials Science (12)
- Mathematics (1)
- Microscopy (3)
- Molten Salt (2)
- Nanotechnology (5)
- National Security (2)
- Neutron Science (8)
- Physics (2)
- Polymers (3)
- Security (3)
- Space Exploration (2)
- Summit (3)
- Sustainable Energy (20)
- Transformational Challenge Reactor (4)
- Transportation (13)
Media Contacts
![The agreement builds upon years of collaboration, including a 2016 effort using modeling tools developed at ORNL to predict the first six months of operations of TVA’s Watts Bar Unit 2 nuclear power plant. Credit: Andrew Godfrey/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/wb2_xenon_1.png?h=19940d61&itok=Da4pDLde)
OAK RIDGE, Tenn., Feb. 19, 2020 — The U.S. Department of Energy’s Oak Ridge National Laboratory and the Tennessee Valley Authority have signed a memorandum of understanding to evaluate a new generation of flexible, cost-effective advanced nuclear reactors.
![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.