Filter News
Area of Research
- (-) Clean Energy (39)
- Advanced Manufacturing (3)
- Biology and Environment (15)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (11)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (13)
- Materials for Computing (1)
- National Security (14)
- Neutron Science (6)
- Nuclear Science and Technology (18)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (1)
- Sensors and Controls (2)
- Supercomputing (30)
News Type
News Topics
- (-) Advanced Reactors (3)
- (-) Artificial Intelligence (5)
- (-) Grid (24)
- (-) High-Performance Computing (3)
- (-) Machine Learning (6)
- (-) Nuclear Energy (5)
- (-) Security (3)
- (-) Transformational Challenge Reactor (3)
- 3-D Printing/Advanced Manufacturing (51)
- Big Data (2)
- Bioenergy (16)
- Biology (7)
- Biomedical (4)
- Biotechnology (3)
- Buildings (21)
- Chemical Sciences (11)
- Clean Water (5)
- Climate Change (12)
- Composites (14)
- Computer Science (18)
- Coronavirus (6)
- Critical Materials (8)
- Cybersecurity (3)
- Decarbonization (14)
- Energy Storage (47)
- Environment (28)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- 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)
- Neutron Science (7)
- Partnerships (8)
- Physics (1)
- Polymers (10)
- Quantum Science (1)
- Renewable Energy (1)
- Simulation (2)
- Space Exploration (2)
- Statistics (1)
- Summit (2)
- Sustainable Energy (51)
- Transportation (43)
Media Contacts
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.
A new Department of Energy report produced by Oak Ridge National Laboratory details national and international trends in hydropower, including the role waterpower plays in enhancing the flexibility and resilience of the power grid.
A new tool from Oak Ridge National Laboratory can help planners, emergency responders and scientists visualize how flood waters will spread for any scenario and terrain.
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
The annual Director's Awards recognized four individuals and teams including awards for leadership in quantum simulation development and application on high-performance computing platforms, and revolutionary advancements in the area of microbial
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
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.
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