Filter News
Area of Research
- (-) Clean Energy (35)
- Advanced Manufacturing (1)
- Biology and Environment (15)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (3)
- Isotopes (3)
- Materials (18)
- Materials for Computing (4)
- National Security (2)
- Neutron Science (3)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (6)
- Transportation Systems (2)
News Topics
- (-) Biology (2)
- (-) Machine Learning (2)
- (-) Microscopy (2)
- (-) Net Zero (1)
- (-) Polymers (5)
- (-) Space Exploration (2)
- (-) Transportation (26)
- 3-D Printing/Advanced Manufacturing (23)
- Artificial Intelligence (1)
- Big Data (1)
- Bioenergy (2)
- Biomedical (1)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (1)
- Clean Water (4)
- Climate Change (6)
- Composites (9)
- Computer Science (9)
- Coronavirus (2)
- Critical Materials (4)
- Decarbonization (4)
- Energy Storage (21)
- Environment (15)
- Grid (15)
- High-Performance Computing (1)
- Hydropower (2)
- Materials (12)
- Materials Science (9)
- Mathematics (1)
- Mercury (1)
- Nanotechnology (1)
- Nuclear Energy (1)
- Simulation (1)
- Statistics (1)
- Sustainable Energy (27)
Media Contacts
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
By automating the production of neptunium oxide-aluminum pellets, Oak Ridge National Laboratory scientists have eliminated a key bottleneck when producing plutonium-238 used by NASA to fuel deep space exploration.
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.
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...