Filter News
Area of Research
- (-) Materials (17)
- (-) Neutron Science (7)
- (-) Supercomputing (31)
- Biology and Environment (20)
- Clean Energy (8)
- Computer Science (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (2)
- Isotopes (16)
- Materials for Computing (1)
- National Security (31)
- Nuclear Science and Technology (2)
- Quantum information Science (2)
News Type
News Topics
- (-) Isotopes (6)
- (-) Machine Learning (9)
- (-) Microscopy (9)
- (-) National Security (3)
- (-) Security (2)
- (-) Space Exploration (3)
- (-) Summit (21)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (1)
- Artificial Intelligence (22)
- Big Data (13)
- Bioenergy (7)
- Biology (6)
- Biomedical (11)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (8)
- Clean Water (3)
- Climate Change (12)
- Composites (2)
- Computer Science (49)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (5)
- Energy Storage (9)
- Environment (20)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (13)
- Fusion (3)
- Grid (3)
- High-Performance Computing (20)
- Materials (25)
- Materials Science (28)
- Mathematics (1)
- Nanotechnology (12)
- Net Zero (1)
- Neutron Science (40)
- Nuclear Energy (12)
- Partnerships (3)
- Physics (15)
- Polymers (6)
- Quantum Computing (11)
- Quantum Science (10)
- Simulation (10)
- Software (1)
- Sustainable Energy (5)
- Transformational Challenge Reactor (2)
- Transportation (9)
Media Contacts
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
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
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
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.
On Feb. 18, the world will be watching as NASA’s Perseverance rover makes its final descent into Jezero Crater on the surface of Mars. Mars 2020 is the first NASA mission that uses plutonium-238 produced at the Department of Energy’s Oak Ridge National Laboratory.
Since the 1930s, scientists have been using particle accelerators to gain insights into the structure of matter and the laws of physics that govern our world.
There are more than 17 million veterans in the United States, and approximately half rely on the Department of Veterans Affairs for their healthcare.