Filter News
Area of Research
- (-) Materials for Computing (13)
- (-) National Security (19)
- Advanced Manufacturing (8)
- Biological Systems (1)
- Biology and Environment (53)
- Building Technologies (2)
- Clean Energy (181)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (3)
- Energy Sciences (2)
- Functional Materials for Energy (2)
- Fusion and Fission (29)
- Fusion Energy (13)
- Isotopes (6)
- Materials (92)
- Neutron Science (104)
- Nuclear Science and Technology (16)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (46)
- Transportation Systems (2)
News Topics
- (-) Biomedical (4)
- (-) Energy Storage (6)
- (-) Fusion (1)
- (-) Grid (6)
- (-) Neutron Science (9)
- (-) Partnerships (4)
- (-) Sustainable Energy (7)
- (-) Transportation (7)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Big Data (6)
- Bioenergy (3)
- Biology (5)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (6)
- Climate Change (5)
- Composites (1)
- Computer Science (25)
- Coronavirus (5)
- Cybersecurity (19)
- Decarbonization (2)
- Environment (6)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (4)
- Isotopes (1)
- Machine Learning (12)
- Materials (12)
- Materials Science (18)
- Microscopy (4)
- Nanotechnology (8)
- National Security (35)
- Nuclear Energy (5)
- Physics (1)
- Polymers (6)
- Quantum Computing (1)
- Quantum Science (4)
- Security (12)
- Simulation (1)
- Space Exploration (1)
- Summit (3)
Media Contacts
As vehicles gain technological capabilities, car manufacturers are using an increasing number of computers and sensors to improve situational awareness and enhance the driving experience.
Tristen Mullins enjoys the hidden side of computers. As a signals processing engineer for ORNL, she tries to uncover information hidden in components used on the nation’s power grid — information that may be susceptible to cyberattacks.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
A technology developed at ORNL and used by the U.S. Naval Information Warfare Systems Command, or NAVWAR, to test the capabilities of commercial security tools has been licensed to cybersecurity firm Penguin Mustache to create its Evasive.ai platform. The company was founded by the technology’s creator, former ORNL scientist Jared M. Smith, and his business partner, entrepreneur Brandon Bruce.
U2opia Technology, a consortium of technology and administrative executives with extensive experience in both industry and defense, has exclusively licensed two technologies from ORNL that offer a new method for advanced cybersecurity monitoring in real time.
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.
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.
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.