Filter News
Area of Research
- (-) Clean Energy (77)
- (-) National Security (24)
- Advanced Manufacturing (1)
- Biology and Environment (39)
- Building Technologies (3)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (1)
- Materials (64)
- Materials for Computing (15)
- Mathematics (1)
- Neutron Science (23)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (69)
News Topics
- (-) Buildings (36)
- (-) Clean Water (8)
- (-) Machine Learning (18)
- (-) Mercury (3)
- (-) Nanotechnology (9)
- (-) Polymers (11)
- (-) Security (15)
- (-) Summit (6)
- 3-D Printing/Advanced Manufacturing (80)
- Advanced Reactors (7)
- Artificial Intelligence (19)
- Big Data (11)
- Bioenergy (28)
- Biology (14)
- Biomedical (7)
- Biotechnology (5)
- Chemical Sciences (14)
- Climate Change (25)
- Composites (17)
- Computer Science (41)
- Coronavirus (14)
- Critical Materials (9)
- Cybersecurity (25)
- Decarbonization (34)
- Energy Storage (72)
- Environment (59)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (2)
- Fusion (2)
- Grid (44)
- High-Performance Computing (10)
- Hydropower (2)
- Isotopes (1)
- Materials (36)
- Materials Science (29)
- Mathematics (2)
- Microelectronics (1)
- Microscopy (8)
- Molten Salt (1)
- National Security (36)
- Net Zero (3)
- Neutron Science (15)
- Nuclear Energy (11)
- Partnerships (15)
- Physics (2)
- Quantum Science (3)
- Renewable Energy (1)
- Simulation (4)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (69)
- Transformational Challenge Reactor (3)
- Transportation (67)
Media Contacts
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
Karen White, who works in ORNL’s Neutron Science Directorate, has been honored with a Lifetime Achievement Award.
ORNL researchers demonstrated that an additive made from polymers and electrolytes improves the thermal performance and stability of salt hydrate phase change materials, or PCMs, a finding that could advance their integration into carbon-reducing heat pumps.
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
The common sounds in the background of daily life – like a refrigerator’s hum, an air conditioner’s whoosh and a heat pump’s buzz – often go unnoticed. These noises, however, are the heartbeat of a healthy building and integral for comfort and convenience.
Carl Dukes’ career as an adept communicator got off to a slow start: He was about 5 years old when he spoke for the first time. “I’ve been making up for lost time ever since,” joked Dukes, a technical professional at the Department of Energy’s Oak Ridge National Laboratory.
Researchers at ORNL are developing advanced automation techniques for desalination and water treatment plants, enabling them to save energy while providing affordable drinking water to small, parched communities without high-quality water supplies.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have created a new detection system that allows home energy auditors to see air leaking from a building in real time with the help of a camera.
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine