Filter News
Area of Research
- (-) National Security (2)
- (-) Supercomputing (14)
- Advanced Manufacturing (3)
- Biology and Environment (29)
- Building Technologies (1)
- Clean Energy (37)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fusion and Fission (1)
- Isotopes (2)
- Materials for Computing (2)
- Mathematics (1)
- Neutron Science (2)
- Sensors and Controls (1)
News Topics
- (-) Biomedical (1)
- (-) Environment (8)
- (-) High-Performance Computing (10)
- (-) Machine Learning (1)
- (-) Summit (5)
- (-) Sustainable Energy (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (4)
- Biology (2)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (3)
- Computer Science (16)
- Coronavirus (2)
- Cybersecurity (4)
- Energy Storage (2)
- Frontier (3)
- Materials Science (3)
- Microscopy (2)
- Nanotechnology (1)
- National Security (5)
- Neutron Science (2)
- Physics (1)
- Quantum Computing (5)
- Quantum Science (4)
- Security (2)
- Transportation (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.
The world is full of “huge, gnarly problems,” as ORNL research scientist and musician Melissa Allen-Dumas puts it — no matter what line of work you’re in. That was certainly the case when she would wrestle with a tough piece of music.
The U.S. Department of Energy’s Office of Science announced allocations of supercomputer access to 51 high-impact computational science projects for 2022 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program.
An international problem like climate change needs solutions that cross boundaries, both on maps and among disciplines. Oak Ridge National Laboratory computational scientist Deeksha Rastogi embodies that approach.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
RamSat’s mission is to take pictures of the forests around Gatlinburg, which were destroyed by wildfire in 2016. The mission is wholly designed and carried out by students, teachers and mentors, with support from numerous organizations, including Oak Ridge National Laboratory.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program is seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains.
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.