Filter News
Area of Research
- (-) Clean Energy (108)
- Advanced Manufacturing (20)
- Biology and Environment (33)
- Building Technologies (3)
- Climate and Environmental Systems (1)
- Computational Engineering (3)
- Computer Science (13)
- Energy Sciences (1)
- Fusion and Fission (3)
- Fusion Energy (3)
- Isotopes (1)
- Materials (62)
- Materials for Computing (13)
- Mathematics (1)
- National Security (19)
- Neutron Science (70)
- Nuclear Science and Technology (7)
- Quantum information Science (4)
- Supercomputing (68)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (51)
- (-) Artificial Intelligence (5)
- (-) Computer Science (18)
- (-) Cybersecurity (3)
- (-) Machine Learning (6)
- (-) Neutron Science (7)
- (-) Quantum Science (1)
- (-) Sustainable Energy (51)
- (-) Transformational Challenge Reactor (3)
- Advanced Reactors (3)
- Big Data (2)
- Bioenergy (16)
- Biology (7)
- Biomedical (4)
- Biotechnology (3)
- Buildings (21)
- Chemical Sciences (11)
- Clean Water (5)
- Climate Change (12)
- Composites (14)
- Coronavirus (6)
- Critical Materials (8)
- Decarbonization (14)
- Energy Storage (47)
- Environment (28)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- Grid (24)
- High-Performance Computing (3)
- Hydropower (2)
- Isotopes (1)
- Materials (29)
- Materials Science (20)
- Mathematics (1)
- Mercury (2)
- Microscopy (6)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (4)
- Net Zero (2)
- Nuclear Energy (5)
- Partnerships (8)
- Physics (1)
- Polymers (10)
- Renewable Energy (1)
- Security (3)
- Simulation (2)
- Space Exploration (2)
- Statistics (1)
- Summit (2)
- Transportation (43)
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.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
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.
Oak Ridge National Laboratory has licensed a novel method to 3D print components used in neutron instruments for scientific research to the ExOne Company, a leading maker of binder jet 3D printing technology.
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.
A team of scientists led by Oak Ridge National Laboratory found that while all regions of the country can expect an earlier start to the growing season as temperatures rise, the trend is likely to become more variable year-over-year in hotter regions.
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.