Filter News
Area of Research
- (-) Biology and Environment (9)
- (-) Clean Energy (26)
- (-) Isotope Development and Production (1)
- (-) National Security (15)
- Advanced Manufacturing (3)
- Computational Engineering (1)
- Computer Science (3)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (10)
- Fusion Energy (1)
- Isotopes (2)
- Materials (15)
- Materials for Computing (2)
- Neutron Science (8)
- Nuclear Science and Technology (7)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (41)
News Topics
- (-) Advanced Reactors (4)
- (-) Artificial Intelligence (10)
- (-) Computer Science (20)
- (-) Fossil Energy (1)
- (-) Grid (9)
- (-) Machine Learning (8)
- (-) Nuclear Energy (6)
- (-) Security (6)
- 3-D Printing/Advanced Manufacturing (30)
- Big Data (2)
- Bioenergy (20)
- Biology (18)
- Biomedical (6)
- Biotechnology (6)
- Buildings (8)
- Chemical Sciences (11)
- Clean Water (1)
- Climate Change (13)
- Composites (6)
- Coronavirus (8)
- Critical Materials (4)
- Cybersecurity (10)
- Decarbonization (11)
- Energy Storage (26)
- Environment (24)
- Exascale Computing (2)
- Frontier (1)
- Fusion (3)
- High-Performance Computing (7)
- Isotopes (2)
- Materials (19)
- Materials Science (14)
- Mercury (1)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (12)
- Net Zero (2)
- Neutron Science (11)
- Partnerships (11)
- Physics (2)
- Polymers (5)
- Quantum Science (1)
- Renewable Energy (1)
- Simulation (5)
- Space Exploration (1)
- Summit (5)
- Sustainable Energy (26)
- Transformational Challenge Reactor (3)
- Transportation (18)
Media Contacts
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
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.
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine
Wildfires are an ancient force shaping the environment, but they have grown in frequency, range and intensity in response to a changing climate. At ORNL, scientists are working on several fronts to better understand and predict these events and what they mean for the carbon cycle and biodiversity.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
A technology developed at ORNL and used by the U.S. Naval Information Warfare Systems Command, or NAVWAR, to test the capabilities of commercial security tools has been licensed to cybersecurity firm Penguin Mustache to create its Evasive.ai platform. The company was founded by the technology’s creator, former ORNL scientist Jared M. Smith, and his business partner, entrepreneur Brandon Bruce.
Oak Ridge National Laboratory scientists set out to address one of the biggest uncertainties about how carbon-rich permafrost will respond to gradual sinking of the land surface as temperatures rise.