Filter News
Area of Research
- (-) National Security (30)
- Advanced Manufacturing (22)
- Biological Systems (2)
- Biology and Environment (98)
- Building Technologies (1)
- Clean Energy (116)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (5)
- Fusion and Fission (26)
- Fusion Energy (13)
- Materials (40)
- Materials for Computing (5)
- Neutron Science (16)
- Nuclear Science and Technology (14)
- Quantum information Science (3)
- Supercomputing (44)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Big Data (6)
- (-) Bioenergy (3)
- (-) Biology (5)
- (-) Cybersecurity (19)
- (-) Fusion (1)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (19)
- Coronavirus (2)
- Decarbonization (2)
- Energy Storage (2)
- Environment (5)
- Exascale Computing (1)
- Frontier (1)
- Grid (6)
- High-Performance Computing (4)
- Machine Learning (12)
- Materials (2)
- Materials Science (3)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (4)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (1)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Summit (2)
- Sustainable Energy (3)
- Transportation (2)
Media Contacts
A partnership of ORNL, the Tennessee Department of Economic and Community Development, the Community Reuse Organization of East Tennessee and TVA that aims to attract nuclear energy-related firms to Oak Ridge has been recognized with a state and local economic development award from the Federal Laboratory Consortium.
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.
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.
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.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.