Filter News
Area of Research
- (-) National Security (9)
- Advanced Manufacturing (1)
- Biology and Environment (10)
- Clean Energy (27)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (2)
- Fusion and Fission (5)
- Isotopes (3)
- Materials (30)
- Materials for Computing (3)
- Neutron Science (13)
- Supercomputing (12)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (1)
- (-) Biomedical (2)
- (-) Energy Storage (1)
- (-) Grid (3)
- (-) Neutron Science (2)
- (-) Physics (1)
- Artificial Intelligence (3)
- Big Data (2)
- Bioenergy (2)
- Biology (4)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (7)
- Coronavirus (1)
- Cybersecurity (5)
- Decarbonization (1)
- Environment (1)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (1)
- Machine Learning (4)
- Materials (1)
- National Security (13)
- Partnerships (1)
- Security (3)
- 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.
Nine student physicists and engineers from the #1-ranked Nuclear Engineering and Radiological Sciences Program at the University of Michigan, or UM, attended a scintillation detector workshop at Oak Ridge National Laboratory Oct. 10-13.
In human security research, Thomaz Carvalhaes says, there are typically two perspectives: technocentric and human centric. Rather than pick just one for his work, Carvalhaes uses data from both perspectives to understand how technology impacts the lives of people.
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
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
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.