Filter News
Area of Research
- (-) Advanced Manufacturing (4)
- (-) National Security (12)
- Biology and Environment (13)
- Clean Energy (25)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (4)
- Isotopes (1)
- Materials (53)
- Materials for Computing (3)
- Neutron Science (9)
- Nuclear Science and Technology (13)
- Quantum information Science (2)
- Supercomputing (29)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (4)
- (-) Big Data (3)
- (-) Composites (1)
- (-) Cybersecurity (7)
- (-) Materials Science (3)
- (-) Nuclear Energy (2)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (1)
- Bioenergy (3)
- Biology (4)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (10)
- Coronavirus (1)
- Decarbonization (1)
- Energy Storage (1)
- Environment (1)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- Grid (4)
- High-Performance Computing (1)
- Machine Learning (5)
- Materials (1)
- National Security (13)
- Neutron Science (2)
- Partnerships (1)
- Physics (1)
- Security (5)
- Simulation (1)
- Summit (1)
- Sustainable Energy (3)
- Transportation (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.
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.
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.
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.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.
Researchers at Oak Ridge National Laboratory demonstrated that an additively manufactured polymer layer, when applied to carbon fiber reinforced plastic, or CFRP, can serve as an effective protector against aircraft lightning strikes.
Oak Ridge National Laboratory will give college students the chance to practice cybersecurity skills in a real-world setting as a host of the Department of Energy’s fifth collegiate CyberForce Competition on Nov. 16. The event brings together student teams from across the country to compete at 10 of DOE’s national laboratories.