Filter News
Area of Research
- (-) Biology and Environment (3)
- (-) Computer Science (2)
- Advanced Manufacturing (11)
- Building Technologies (1)
- Clean Energy (60)
- Energy Sciences (1)
- Fusion and Fission (3)
- Fusion Energy (6)
- Isotopes (1)
- Materials (17)
- Materials for Computing (4)
- National Security (2)
- Neutron Science (3)
- Nuclear Science and Technology (4)
- Quantum information Science (3)
- Supercomputing (6)
- Transportation Systems (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Energy Storage (1)
- (-) Quantum Science (1)
- (-) Transportation (1)
- Artificial Intelligence (5)
- Big Data (4)
- Bioenergy (10)
- Biology (14)
- Biomedical (2)
- Biotechnology (2)
- Buildings (1)
- Clean Water (4)
- Climate Change (10)
- Composites (1)
- Computer Science (14)
- Coronavirus (1)
- Decarbonization (2)
- Environment (19)
- Grid (4)
- High-Performance Computing (4)
- Hydropower (3)
- Machine Learning (4)
- Materials (1)
- Mathematics (1)
- Mercury (1)
- Simulation (1)
- Sustainable Energy (11)
Media Contacts
Oak Ridge National Laboratory scientists led the development of a supply chain model revealing the optimal places to site farms, biorefineries, pipelines and other infrastructure for sustainable aviation fuel production.
A new report published by ORNL assessed how advanced manufacturing and materials, such as 3D printing and novel component coatings, could offer solutions to modernize the existing fleet and design new approaches to hydropower.
The presence of minerals called ash in plants makes little difference to the fitness of new naturally derived compound materials designed for additive manufacturing, an Oak Ridge National Laboratory-led team found.
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.