Filter News
Area of Research
- (-) Fusion Energy (1)
- (-) National Security (22)
- Advanced Manufacturing (2)
- Biology and Environment (12)
- Clean Energy (28)
- Computer Science (2)
- Fusion and Fission (4)
- Isotopes (1)
- Materials (29)
- Materials for Computing (5)
- Neutron Science (42)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (56)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (5)
- (-) Computer Science (12)
- (-) Cybersecurity (8)
- (-) Neutron Science (4)
- (-) Security (7)
- 3-D Printing/Advanced Manufacturing (1)
- Big Data (3)
- Bioenergy (2)
- Biology (4)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Coronavirus (1)
- Decarbonization (1)
- Energy Storage (1)
- Environment (1)
- Exascale Computing (1)
- Frontier (1)
- Fusion (3)
- Grid (3)
- High-Performance Computing (1)
- Machine Learning (6)
- Materials (1)
- Materials Science (3)
- Nanotechnology (1)
- National Security (15)
- Nuclear Energy (3)
- Partnerships (1)
- Physics (1)
- Simulation (1)
- Summit (1)
- Sustainable Energy (1)
Media Contacts
Although blockchain is best known for securing digital currency payments, researchers at the Department of Energy’s Oak Ridge National Laboratory are using it to track a different kind of exchange: It’s the first time blockchain has ever been used to validate communication among devices on the electric grid.
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
Over the past seven years, researchers in ORNL’s Geospatial Science and Human Security Division have mapped and characterized all structures within the United States and its territories to aid FEMA in its response to disasters. This dataset provides a consistent, nationwide accounting of the buildings where people reside and work.
Cameras see the world differently than humans. Resolution, equipment, lighting, distance and atmospheric conditions can impact how a person interprets objects on a photo.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
Though Nell Barber wasn’t sure what her future held after graduating with a bachelor’s degree in psychology, she now uses her interest in human behavior to design systems that leverage machine learning algorithms to identify faces in a crowd.
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.