Filter News
Area of Research
- (-) Clean Energy (41)
- (-) National Security (3)
- Advanced Manufacturing (1)
- Biology and Environment (5)
- Computational Engineering (2)
- Computer Science (3)
- Fusion and Fission (6)
- Fusion Energy (6)
- Materials (26)
- Materials for Computing (5)
- Mathematics (1)
- Neutron Science (28)
- Nuclear Science and Technology (4)
- Supercomputing (8)
- Transportation Systems (2)
News Type
News Topics
- (-) Big Data (4)
- (-) Mathematics (2)
- (-) Nanotechnology (1)
- (-) Neutron Science (1)
- (-) Transportation (37)
- 3-D Printing/Advanced Manufacturing (34)
- Artificial Intelligence (3)
- Bioenergy (4)
- Biology (3)
- Biomedical (2)
- Biotechnology (1)
- Buildings (19)
- Chemical Sciences (1)
- Clean Water (5)
- Climate Change (9)
- Composites (9)
- Computer Science (13)
- Coronavirus (7)
- Critical Materials (5)
- Cybersecurity (7)
- Decarbonization (12)
- Energy Storage (32)
- Environment (22)
- Grid (23)
- High-Performance Computing (1)
- Hydropower (2)
- Machine Learning (4)
- Materials (14)
- Materials Science (10)
- Mercury (2)
- Microscopy (3)
- National Security (11)
- Net Zero (2)
- Nuclear Energy (2)
- Polymers (5)
- Quantum Science (1)
- Security (5)
- Simulation (1)
- Space Exploration (2)
- Statistics (1)
- Summit (2)
- Sustainable Energy (33)
Media Contacts
Oak Ridge National Laboratory scientists studying fuel cells as a potential alternative to internal combustion engines used sophisticated electron microscopy to investigate the benefits of replacing high-cost platinum with a lower cost, carbon-nitrogen-manganese-based catalyst.
Thought leaders from across the maritime community came together at Oak Ridge National Laboratory to explore the emerging new energy landscape for the maritime transportation system during the Ninth Annual Maritime Risk Symposium.
Self-driving cars promise to keep traffic moving smoothly and reduce fuel usage, but proving those advantages has been a challenge with so few connected and automated vehicles, or CAVs, currently on the road.
Officials responsible for anticipating the demand for electric vehicle charging stations could get help through a sophisticated new method developed at Oak Ridge National Laboratory. The method considers electric vehicle volume and the random timing of vehicles arriving at cha...