Filter News
Area of Research
- (-) Computer Science (4)
- (-) National Security (6)
- Biology and Environment (89)
- Biology and Soft Matter (1)
- Clean Energy (56)
- Climate and Environmental Systems (5)
- Computational Engineering (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Isotopes (1)
- Materials (26)
- Materials for Computing (4)
- Mathematics (1)
- Neutron Science (15)
- Nuclear Science and Technology (1)
- Quantum information Science (9)
- Supercomputing (45)
News Topics
- (-) Environment (6)
- (-) Quantum Science (4)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (17)
- Big Data (10)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (33)
- Coronavirus (2)
- Cybersecurity (20)
- Decarbonization (2)
- Energy Storage (3)
- Exascale Computing (2)
- Frontier (1)
- Fusion (1)
- Grid (7)
- High-Performance Computing (6)
- Machine Learning (16)
- Materials (2)
- Materials Science (4)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (4)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (1)
- Security (11)
- Simulation (1)
- Summit (3)
- Sustainable Energy (4)
- Transportation (2)
Media Contacts
Jack Orebaugh, a forensic anthropology major at the University of Tennessee, Knoxville, has a big heart for families with missing loved ones. When someone disappears in an area of dense vegetation, search and recovery efforts can be difficult, especially when a missing person’s last location is unknown. Recognizing the agony of not knowing what happened to a family or friend, Orebaugh decided to use his internship at the Department of Energy’s Oak Ridge National Laboratory to find better ways to search for lost and deceased people using cameras and drones.
The Autonomous Systems group at ORNL is in high demand as it incorporates remote sensing into projects needing a bird’s-eye perspective.
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
An analysis published in the Proceedings of the National Academy of Sciences and led by researchers from the U.S. Department of Energy’s Oak Ridge National Laboratory has received the 2021 Sustainability Science Award from the Ecological Society of America.
Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
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
A detailed study by Oak Ridge National Laboratory estimated how much more—or less—energy United States residents might consume by 2050 relative to predicted shifts in seasonal weather patterns