Filter News
Area of Research
- (-) Clean Energy (15)
- (-) Materials for Computing (2)
- Advanced Manufacturing (2)
- Biology and Environment (5)
- Computer Science (1)
- Fusion and Fission (1)
- Fusion Energy (2)
- Isotopes (1)
- Materials (3)
- National Security (2)
- Neutron Science (5)
- Nuclear Science and Technology (9)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (11)
News Type
News Topics
- (-) Artificial Intelligence (2)
- (-) Bioenergy (6)
- (-) Biomedical (2)
- (-) Grid (3)
- (-) Machine Learning (4)
- (-) Nuclear Energy (1)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (1)
- Biology (1)
- Biotechnology (1)
- Chemical Sciences (2)
- Climate Change (5)
- Composites (1)
- Computer Science (6)
- Coronavirus (2)
- Decarbonization (1)
- Energy Storage (10)
- Environment (8)
- Exascale Computing (1)
- High-Performance Computing (1)
- Isotopes (1)
- Materials (2)
- Materials Science (6)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (5)
- Neutron Science (4)
- Physics (1)
- Polymers (3)
- Quantum Science (1)
- Summit (2)
- Sustainable Energy (16)
- Transformational Challenge Reactor (2)
- Transportation (8)
Media Contacts
Scientists at ORNL used neutron scattering and supercomputing to better understand how an organic solvent and water work together to break down plant biomass, creating a pathway to significantly improve the production of renewable
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
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 ORNL demonstrated that sodium-ion batteries can serve as a low-cost, high performance substitute for rechargeable lithium-ion batteries commonly used in robotics, power tools, and grid-scale energy storage.
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.