Filter News
Area of Research
- (-) Energy Sciences (2)
- (-) National Security (10)
- Advanced Manufacturing (3)
- Biology and Environment (97)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Clean Energy (128)
- Climate and Environmental Systems (5)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (3)
- Fusion and Fission (8)
- Fusion Energy (2)
- Isotopes (21)
- Materials (38)
- Materials for Computing (5)
- Mathematics (1)
- Neutron Science (14)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Supercomputing (62)
- Transportation Systems (2)
News Type
News Topics
- (-) Climate Change (4)
- (-) Energy Storage (2)
- (-) Environment (4)
- (-) Summit (2)
- (-) Sustainable Energy (3)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (6)
- Big Data (6)
- Bioenergy (2)
- Biology (3)
- Biomedical (1)
- Biotechnology (1)
- Buildings (1)
- Computer Science (11)
- Coronavirus (2)
- Cybersecurity (9)
- Decarbonization (2)
- Grid (5)
- High-Performance Computing (3)
- Machine Learning (8)
- Materials (1)
- Materials Science (2)
- Nanotechnology (1)
- National Security (24)
- Neutron Science (2)
- Nuclear Energy (2)
- Partnerships (1)
- Quantum Science (1)
- Security (6)
- Simulation (1)
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.
ORNL researchers, in collaboration with Enginuity Power Systems, demonstrated that a micro combined heat and power prototype, or mCHP, with a piston engine can achieve an overall energy efficiency greater than 93%.
The Autonomous Systems group at ORNL is in high demand as it incorporates remote sensing into projects needing a bird’s-eye perspective.
When Matt McCarthy saw an opportunity for a young career scientist to influence public policy, he eagerly raised his hand.
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.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
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
Oak Ridge National Laboratory researchers proved that the heat transport ability of lithium-ion battery cathodes is much lower than previously determined, a finding that could help explain barriers to increasing energy storage capacity and boosting performance.
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.