Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (35)
- Clean Energy (61)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (26)
- Materials for Computing (3)
- National Security (28)
- Neutron Science (19)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Sensors and Controls (2)
- Supercomputing (86)
News Topics
- (-) Artificial Intelligence (98)
- (-) Big Data (60)
- (-) Biomedical (60)
- (-) Frontier (45)
- (-) Grid (66)
- (-) Irradiation (3)
- (-) Molten Salt (9)
- (-) Security (25)
- 3-D Printing/Advanced Manufacturing (125)
- Advanced Reactors (34)
- Bioenergy (92)
- Biology (100)
- Biotechnology (23)
- Buildings (62)
- Chemical Sciences (71)
- Clean Water (31)
- Climate Change (104)
- Composites (29)
- Computer Science (195)
- Coronavirus (46)
- Critical Materials (29)
- Cybersecurity (35)
- Decarbonization (82)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (198)
- Exascale Computing (41)
- Fossil Energy (6)
- Fusion (57)
- High-Performance Computing (91)
- Hydropower (11)
- Isotopes (56)
- ITER (7)
- Machine Learning (49)
- Materials (146)
- Materials Science (145)
- Mathematics (9)
- Mercury (12)
- Microelectronics (4)
- Microscopy (51)
- Nanotechnology (60)
- National Security (71)
- Net Zero (14)
- Neutron Science (134)
- Nuclear Energy (111)
- Partnerships (49)
- Physics (64)
- Polymers (33)
- Quantum Computing (37)
- Quantum Science (71)
- Renewable Energy (2)
- Simulation (50)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (59)
- Sustainable Energy (130)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
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.
IDEMIA Identity & Security USA has licensed an advanced optical array developed at Oak Ridge National Laboratory. The portable technology can be used to help identify individuals in challenging outdoor conditions.
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 the Titan supercomputer at Oak Ridge National Laboratory, a team of astrophysicists created a set of galactic wind simulations of the highest resolution ever performed. The simulations will allow researchers to gather and interpret more accurate, detailed data that elucidates how galactic winds affect the formation and evolution of galaxies.
Scientists at Oak Ridge National Laboratory studying quantum communications have discovered a more practical way to share secret messages among three parties, which could ultimately lead to better cybersecurity for the electric grid
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool
OAK RIDGE, Tenn., May 7, 2019—The U.S. Department of Energy today announced a contract with Cray Inc. to build the Frontier supercomputer at Oak Ridge National Laboratory, which is anticipated to debut in 2021 as the world’s most powerful computer with a performance of greater than 1.5 exaflops.
Oak Ridge National Laboratory is using artificial intelligence to analyze data from published medical studies associated with bullying to reveal the potential of broader impacts, such as mental illness or disease.