Filter News
Area of Research
- (-) Biology and Soft Matter (1)
- (-) Computational Biology (2)
- (-) Computer Science (9)
- (-) National Security (37)
- Advanced Manufacturing (5)
- Biology and Environment (67)
- Clean Energy (123)
- Climate and Environmental Systems (2)
- Computational Engineering (3)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (10)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (27)
- Materials (114)
- Materials for Computing (18)
- Mathematics (1)
- Neutron Science (107)
- Nuclear Science and Technology (14)
- Quantum information Science (3)
- Supercomputing (124)
News Topics
- (-) Artificial Intelligence (18)
- (-) Climate Change (6)
- (-) Cybersecurity (20)
- (-) Energy Storage (3)
- (-) Frontier (1)
- (-) Nanotechnology (1)
- (-) Neutron Science (5)
- (-) Summit (4)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Big Data (10)
- Bioenergy (3)
- Biology (7)
- Biomedical (4)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (3)
- Computer Science (34)
- Coronavirus (3)
- Decarbonization (3)
- Environment (7)
- Exascale Computing (2)
- Fusion (1)
- Grid (7)
- High-Performance Computing (8)
- Machine Learning (16)
- Materials (2)
- Materials Science (4)
- National Security (34)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (1)
- Quantum Science (4)
- Security (11)
- Simulation (1)
- Sustainable Energy (4)
- Transportation (2)
Media Contacts
![St John's CyberForce team](/sites/default/files/styles/list_page_thumbnail/public/2019-11/Cyberforce-CroppedStJohnsDec2018_0.jpg?h=d23b96dd&itok=lSiev61W)
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.
![quantum mechanics to advance a range of technologies including computing, fiber optics and network communication](/sites/default/files/styles/list_page_thumbnail/public/2019-09/2017-P08412_0.jpg?h=b6236d98&itok=ecQNon31)
Three researchers at Oak Ridge National Laboratory will lead or participate in collaborative research projects aimed at harnessing the power of quantum mechanics to advance a range of technologies including computing, fiber optics and network
![early prototype of the optical array developed by Oak Ridge National Laboratory.](/sites/default/files/styles/list_page_thumbnail/public/2019-08/Optical%20array%20tech%20demo_0.jpg?h=2992f284&itok=ahZ9Umui)
IDEMIA Identity & Security USA has licensed an advanced optical array developed at Oak Ridge National Laboratory. The portable technology can be used to help identify individuals in challenging outdoor conditions.
![Motion sensing technology](/sites/default/files/styles/list_page_thumbnail/public/2019-07/Coin-spin-ORNL.jpg?h=dbfb0746&itok=LtrLTeNM)
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
![Computing—Building a brain](/sites/default/files/styles/list_page_thumbnail/public/2019-06/CADES2019-P00182_0.jpg?h=c6980913&itok=eyahnQde)
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
![Computing—Routing out the bugs](/sites/default/files/styles/list_page_thumbnail/public/2019-11/VA-HealthIT-2019-P04263.jpg?h=784bd909&itok=uwv091uK)
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool
![Using artificial intelligence, Oak Ridge National Laboratory analyzed data from published medical studies to reveal the potential of direct and indirect impacts of bullying.](/sites/default/files/styles/list_page_thumbnail/public/2019-04/bullying_img.png?h=48484608&itok=zxX54Jz1)
Oak Ridge National Laboratory is using artificial intelligence to analyze data from published medical studies associated with bullying to reveal the potential of broader impacts, such as mental illness or disease.