Filter News
Area of Research
- (-) Clean Energy (94)
- Advanced Manufacturing (3)
- Biology and Environment (21)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (12)
- Fusion Energy (7)
- Isotope Development and Production (1)
- Isotopes (27)
- Materials (52)
- Materials for Computing (7)
- National Security (19)
- Neutron Science (16)
- Nuclear Science and Technology (19)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Sensors and Controls (1)
- Supercomputing (52)
- Transportation Systems (2)
News Topics
- (-) Advanced Reactors (6)
- (-) Artificial Intelligence (8)
- (-) Critical Materials (9)
- (-) Isotopes (1)
- (-) Mercury (3)
- (-) Security (6)
- (-) Space Exploration (3)
- (-) Transportation (66)
- 3-D Printing/Advanced Manufacturing (78)
- Big Data (5)
- Bioenergy (26)
- Biology (11)
- Biomedical (6)
- Biotechnology (4)
- Buildings (38)
- Chemical Sciences (14)
- Clean Water (8)
- Climate Change (21)
- Composites (17)
- Computer Science (25)
- Coronavirus (12)
- Cybersecurity (8)
- Decarbonization (33)
- Energy Storage (72)
- Environment (54)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (2)
- Fusion (1)
- Grid (40)
- High-Performance Computing (6)
- Hydropower (2)
- Machine Learning (7)
- Materials (35)
- Materials Science (26)
- Mathematics (2)
- Microelectronics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (5)
- Net Zero (3)
- Neutron Science (11)
- Nuclear Energy (7)
- Partnerships (12)
- Physics (1)
- Polymers (11)
- Quantum Science (2)
- Renewable Energy (1)
- Simulation (4)
- Statistics (1)
- Summit (4)
- Sustainable Energy (69)
- Transformational Challenge Reactor (3)
Media Contacts
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
Burak Ozpineci of the Electrical and Electronics Systems Research Division at Oak Ridge National Laboratory has won the 2020 IEEE Power Electronics Society Vehicle and Transportation Systems Achievement Award.
The Department of Energy’s Office of Science has selected three Oak Ridge National Laboratory scientists for Early Career Research Program awards.
Oak Ridge National Laboratory researchers have developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.
Researchers at the Department of Energy’s Oak Ridge National Laboratory are refining their design of a 3D-printed nuclear reactor core, scaling up the additive manufacturing process necessary to build it, and developing methods
Researchers at Oak Ridge National Laboratory demonstrated a 20-kilowatt bi-directional wireless charging system on a UPS plug-in hybrid electric delivery truck, advancing the technology to a larger class of vehicles and enabling a new energy storage method for fleet owners and their facilities.
Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) in late February demonstrated a 20-kilowatt bi-directional wireless charging system installed on a UPS medium-duty, plug-in hybrid electric delivery truck.
Each year, approximately 6 billion gallons of fuel are wasted as vehicles wait at stop lights or sit in dense traffic with engines idling, according to US Department of Energy estimates.
A technology developed at the ORNL and scaled up by Vertimass LLC to convert ethanol into fuels suitable for aviation, shipping and other heavy-duty applications can be price-competitive with conventional fuels
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.