Filter News
Area of Research
- Biology and Environment (37)
- Biology and Soft Matter (1)
- Clean Energy (42)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (5)
- Fusion Energy (1)
- Isotopes (1)
- Materials (8)
- Materials for Computing (3)
- National Security (35)
- Neutron Science (9)
- Nuclear Science and Technology (1)
- Quantum information Science (4)
- Supercomputing (30)
News Type
News Topics
- (-) Coronavirus (17)
- (-) Decarbonization (43)
- (-) Grid (22)
- (-) Machine Learning (19)
- (-) National Security (32)
- (-) Quantum Science (26)
- (-) Security (10)
- (-) Sustainable Energy (41)
- 3-D Printing/Advanced Manufacturing (34)
- Advanced Reactors (7)
- Artificial Intelligence (40)
- Big Data (21)
- Bioenergy (48)
- Biology (56)
- Biomedical (28)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Climate Change (46)
- Composites (5)
- Computer Science (78)
- Critical Materials (1)
- Cybersecurity (14)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Exascale Computing (22)
- Fossil Energy (4)
- Frontier (21)
- Fusion (28)
- High-Performance Computing (41)
- Hydropower (5)
- Isotopes (24)
- ITER (2)
- Materials (39)
- Materials Science (40)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (19)
- Molten Salt (1)
- Nanotechnology (16)
- Net Zero (7)
- Neutron Science (45)
- Nuclear Energy (52)
- Partnerships (13)
- Physics (25)
- Polymers (7)
- Quantum Computing (16)
- Renewable Energy (1)
- Simulation (27)
- Software (1)
- Space Exploration (11)
- Summit (30)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
Researchers at ORNL are using a machine-learning model to answer ‘what if’ questions stemming from major events that impact large numbers of people. By simulating an event, such as extreme weather, researchers can see how people might respond to adverse situations, and those outcomes can be used to improve emergency planning.
To balance personal safety and research innovation, researchers at ORNL are employing a mathematical technique known as differential privacy to provide data privacy guarantees.
ORNL scientists contributed to a DOE technical study that found transitioning coal plants to nuclear power plants would create high-paying jobs at the converted plants and hundreds of new jobs locally.
Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions.
The U.S. Environmental Protection Agency has approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and ORNL that can significantly reduce the emissions profile of vehicles when added to conventional fuels.
The Quantum Voices series is designed to share the stories of the quantum researchers and technical experts behind the Quantum Science Center’s past, present and future accomplishments. Chengyun Hua is highlighted for this edition, talking about her role in the Quantum Science Center.
Helping hundreds of manufacturing industries and water-power facilities across the U.S. increase energy efficiency requires a balance of teaching and training, blended with scientific guidance and technical expertise. It’s a formula for success that ORNL researchers have been providing to DOE’s Better Plants Program for more than a decade.
ORNL researchers modeled how hurricane cloud cover would affect solar energy generation as a storm followed 10 possible trajectories over the Caribbean and Southern U.S.
Researchers simulated a key quantum state at one of the largest scales reported, with support from the Quantum Computing User Program, or QCUP, at ORNL.
ORNL’s Omer Onar and Mostak Mohammad will present on ORNL's wireless charging technology in DOE’s Office of Technology Transitions National Lab Discovery Series Tuesday, April 30.