Filter News
Area of Research
- Advanced Manufacturing (14)
- Biology and Environment (34)
- Building Technologies (1)
- Clean Energy (114)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (2)
- Energy Sciences (1)
- Fusion and Fission (6)
- Fusion Energy (2)
- Isotopes (1)
- Materials (33)
- Materials for Computing (6)
- Mathematics (1)
- National Security (20)
- Neutron Science (17)
- Nuclear Science and Technology (2)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (71)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (68)
- (-) Artificial Intelligence (59)
- (-) Big Data (38)
- (-) Clean Water (27)
- (-) Energy Storage (59)
- (-) Grid (43)
- (-) Machine Learning (32)
- (-) Mercury (10)
- (-) Quantum Computing (24)
- (-) Quantum Science (40)
- (-) Summit (36)
- Advanced Reactors (21)
- Bioenergy (65)
- Biology (75)
- Biomedical (39)
- Biotechnology (14)
- Buildings (37)
- Chemical Sciences (31)
- Climate Change (70)
- Composites (15)
- Computer Science (121)
- Coronavirus (28)
- Critical Materials (14)
- Cybersecurity (17)
- Decarbonization (53)
- Education (1)
- Emergency (2)
- Environment (144)
- Exascale Computing (26)
- Fossil Energy (4)
- Frontier (25)
- Fusion (39)
- High-Performance Computing (54)
- Hydropower (11)
- Irradiation (2)
- Isotopes (32)
- ITER (5)
- Materials (76)
- Materials Science (77)
- Mathematics (7)
- Microelectronics (2)
- Microscopy (31)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (38)
- Net Zero (9)
- Neutron Science (74)
- Nuclear Energy (73)
- Partnerships (17)
- Physics (32)
- Polymers (17)
- Renewable Energy (1)
- Security (12)
- Simulation (37)
- Software (1)
- Space Exploration (22)
- Statistics (1)
- Sustainable Energy (87)
- Transformational Challenge Reactor (3)
- Transportation (62)
Media Contacts
Two of the researchers who share the Nobel Prize in Chemistry announced Wednesday—John B. Goodenough of the University of Texas at Austin and M. Stanley Whittingham of Binghamton University in New York—have research ties to ORNL.
The type of vehicle that will carry people to the Red Planet is shaping up to be “like a two-story house you’re trying to land on another planet.
In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.
A team including Oak Ridge National Laboratory and University of Tennessee researchers demonstrated a novel 3D printing approach called Z-pinning that can increase the material’s strength and toughness by more than three and a half times compared to conventional additive manufacturing processes.
More than 6,000 veterans died by suicide in 2016, and from 2005 to 2016, the rate of veteran suicides in the United States increased by more than 25 percent.
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.
Materials scientists, electrical engineers, computer scientists, and other members of the neuromorphic computing community from industry, academia, and government agencies gathered in downtown Knoxville July 23–25 to talk about what comes next in
Isabelle Snyder calls faults as she sees them, whether it’s modeling operations for the nation’s power grid or officiating at the US Open Tennis Championships.
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
Using additive manufacturing, scientists experimenting with tungsten at Oak Ridge National Laboratory hope to unlock new potential of the high-performance heat-transferring material used to protect components from the plasma inside a fusion reactor. Fusion requires hydrogen isotopes to reach millions of degrees.