Filter News
Area of Research
- (-) National Security (6)
- Biological Systems (1)
- Biology and Environment (57)
- Clean Energy (45)
- Climate and Environmental Systems (2)
- Computer Science (1)
- Fusion and Fission (3)
- Fusion Energy (1)
- Isotopes (1)
- Materials (59)
- Materials Characterization (1)
- Materials for Computing (4)
- Materials Under Extremes (1)
- Neutron Science (53)
- Nuclear Science and Technology (6)
- Quantum information Science (2)
- Supercomputing (42)
News Topics
- (-) Bioenergy (1)
- (-) Environment (2)
- (-) Materials Science (3)
- (-) Nanotechnology (1)
- (-) Neutron Science (2)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (1)
- Artificial Intelligence (7)
- Big Data (3)
- Climate Change (1)
- Computer Science (8)
- Coronavirus (1)
- Cybersecurity (10)
- Decarbonization (1)
- Energy Storage (1)
- Fusion (1)
- Grid (2)
- High-Performance Computing (3)
- Machine Learning (7)
- Materials (1)
- National Security (16)
- Nuclear Energy (4)
- Partnerships (3)
- Security (5)
- Summit (1)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
The Autonomous Systems group at ORNL is in high demand as it incorporates remote sensing into projects needing a bird’s-eye perspective.
A partnership of ORNL, the Tennessee Department of Economic and Community Development, the Community Reuse Organization of East Tennessee and TVA that aims to attract nuclear energy-related firms to Oak Ridge has been recognized with a state and local economic development award from the Federal Laboratory Consortium.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
Research by an international team led by Duke University and the Department of Energy’s Oak Ridge National Laboratory scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.
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.