Filter News
Area of Research
- (-) Computer Science (7)
- (-) National Security (15)
- Advanced Manufacturing (6)
- Biology and Environment (101)
- Biology and Soft Matter (1)
- Clean Energy (139)
- Climate and Environmental Systems (5)
- Computational Biology (2)
- Computational Engineering (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (101)
- Materials Characterization (1)
- Materials for Computing (18)
- Materials Under Extremes (1)
- Mathematics (1)
- Neutron Science (43)
- Nuclear Science and Technology (8)
- Quantum information Science (9)
- Supercomputing (89)
- Transportation Systems (2)
News Topics
- (-) Environment (6)
- (-) High-Performance Computing (6)
- (-) Materials Science (4)
- (-) Quantum Science (4)
- (-) Transportation (2)
- 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)
- Machine Learning (16)
- Materials (2)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (4)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (1)
- Security (11)
- Simulation (1)
- Summit (3)
- Sustainable Energy (4)
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.
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
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.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
Using disinformation to create political instability and battlefield confusion dates back millennia. However, today’s disinformation actors use social media to amplify disinformation that users knowingly or, more often, unknowingly perpetuate. Such disinformation spreads quickly, threatening public health and safety. Indeed, the COVID-19 pandemic and recent global elections have given the world a front-row seat to this form of modern warfare.
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.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as