Filter News
Area of Research
- (-) National Security (65)
- (-) Supercomputing (124)
- Advanced Manufacturing (6)
- Biology and Environment (36)
- Building Technologies (1)
- Clean Energy (89)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (3)
- Fuel Cycle Science and Technology (2)
- Functional Materials for Energy (1)
- Fusion and Fission (31)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (86)
- Materials for Computing (11)
- Mathematics (1)
- Neutron Science (109)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (6)
- Sensors and Controls (1)
News Topics
- (-) Artificial Intelligence (45)
- (-) Computer Science (104)
- (-) Cybersecurity (23)
- (-) Grid (11)
- (-) Machine Learning (23)
- (-) National Security (35)
- (-) Neutron Science (15)
- (-) Nuclear Energy (8)
- (-) Physics (8)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Big Data (22)
- Bioenergy (11)
- Biology (14)
- Biomedical (17)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (20)
- Coronavirus (16)
- Critical Materials (3)
- Decarbonization (6)
- Energy Storage (9)
- Environment (25)
- Exascale Computing (22)
- Frontier (28)
- Fusion (2)
- High-Performance Computing (40)
- Isotopes (1)
- Materials (16)
- Materials Science (17)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- Net Zero (1)
- Partnerships (4)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (12)
- Transportation (8)
Media Contacts
ORNL hosted its fourth Artificial Intelligence for Robust Engineering and Science, or AIRES, workshop from April 18-20. Over 100 attendees from government, academia and industry convened to identify research challenges and investment areas, carving the future of the discipline.
After completing a bachelor’s degree in biology, Toya Beiswenger didn’t intend to go into forensics. But almost two decades later, the nuclear security scientist at ORNL has found a way to appreciate the art of nuclear forensics.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
When geoinformatics engineering researchers at the Department of Energy’s Oak Ridge National Laboratory wanted to better understand changes in land areas and points of interest around the world, they turned to the locals — their data, at least.
Tristen Mullins enjoys the hidden side of computers. As a signals processing engineer for ORNL, she tries to uncover information hidden in components used on the nation’s power grid — information that may be susceptible to cyberattacks.
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
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 study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
Computing pioneer Jack Dongarra has been elected to the National Academy of Sciences in recognition of his distinguished and continuing achievements in original research.
A trio of new and improved cosmological simulation codes was unveiled in a series of presentations at the annual April Meeting of the American Physical Society in Minneapolis.