Filter News
Area of Research
- (-) Clean Energy (6)
- (-) Computer Science (6)
- (-) Materials (9)
- (-) National Security (11)
- Advanced Manufacturing (1)
- Biology and Environment (18)
- Computational Biology (2)
- Computational Engineering (1)
- Fusion and Fission (16)
- Fusion Energy (11)
- Materials for Computing (2)
- Neutron Science (6)
- Nuclear Science and Technology (11)
- Quantum information Science (7)
- Supercomputing (41)
News Type
News Topics
- (-) Fusion (4)
- (-) High-Performance Computing (8)
- (-) Machine Learning (15)
- (-) Molten Salt (1)
- (-) Quantum Science (4)
- 3-D Printing/Advanced Manufacturing (52)
- Advanced Reactors (4)
- Artificial Intelligence (16)
- Big Data (11)
- Bioenergy (14)
- Biology (8)
- Biomedical (7)
- Biotechnology (3)
- Buildings (24)
- Chemical Sciences (12)
- Clean Water (9)
- Climate Change (17)
- Composites (12)
- Computer Science (40)
- Coronavirus (11)
- Critical Materials (8)
- Cybersecurity (14)
- Decarbonization (20)
- Energy Storage (44)
- Environment (43)
- Exascale Computing (1)
- Fossil Energy (1)
- Grid (33)
- Hydropower (2)
- Isotopes (8)
- Materials (47)
- Materials Science (43)
- Mathematics (3)
- Mercury (2)
- Microelectronics (1)
- Microscopy (14)
- Nanotechnology (17)
- National Security (23)
- Net Zero (2)
- Neutron Science (16)
- Nuclear Energy (17)
- Partnerships (5)
- Physics (13)
- Polymers (11)
- Quantum Computing (2)
- Security (9)
- Simulation (2)
- Space Exploration (5)
- Statistics (1)
- Summit (5)
- Sustainable Energy (42)
- Transformational Challenge Reactor (2)
- Transportation (47)
Media Contacts
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
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.
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.