Filter News
Area of Research
- (-) Clean Energy (32)
- Advanced Manufacturing (3)
- Biology and Environment (25)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (30)
- Fusion Energy (15)
- Isotopes (25)
- Materials (54)
- Materials for Computing (6)
- National Security (36)
- Neutron Science (12)
- Nuclear Science and Technology (24)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (53)
News Topics
- (-) Advanced Reactors (6)
- (-) Cybersecurity (8)
- (-) Frontier (2)
- (-) Fusion (1)
- (-) Isotopes (1)
- (-) Machine Learning (7)
- (-) Microscopy (8)
- (-) Security (6)
- 3-D Printing/Advanced Manufacturing (78)
- Artificial Intelligence (8)
- Big Data (5)
- Bioenergy (26)
- Biology (11)
- Biomedical (6)
- Biotechnology (4)
- Buildings (36)
- Chemical Sciences (14)
- Clean Water (8)
- Climate Change (21)
- Composites (17)
- Computer Science (25)
- Coronavirus (12)
- Critical Materials (9)
- Decarbonization (33)
- Energy Storage (72)
- Environment (54)
- Exascale Computing (2)
- Fossil Energy (2)
- Grid (40)
- High-Performance Computing (6)
- Hydropower (2)
- Materials (35)
- Materials Science (26)
- Mathematics (2)
- Mercury (3)
- Microelectronics (1)
- 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)
- Space Exploration (3)
- Statistics (1)
- Summit (4)
- Sustainable Energy (69)
- Transformational Challenge Reactor (3)
- Transportation (65)
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.
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 researchers have built a novel microscope that provides a “chemical lens” for viewing biological systems including cell membranes and biofilms.
The Department of Energy’s Office of Science has selected three Oak Ridge National Laboratory scientists for Early Career Research Program awards.
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
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample. This novel technique can confirm structural features in starch, a carbohydrate important in biofuel production.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have received five 2019 R&D 100 Awards, increasing the lab’s total to 221 since the award’s inception in 1963.
IDEMIA Identity & Security USA has licensed an advanced optical array developed at Oak Ridge National Laboratory. The portable technology can be used to help identify individuals in challenging outdoor conditions.
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.