Filter News
Area of Research
- (-) Biological Systems (1)
- (-) Biology and Environment (22)
- (-) Fusion and Fission (2)
- (-) National Security (15)
- Clean Energy (20)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Isotopes (16)
- Materials (15)
- Neutron Science (9)
- Nuclear Science and Technology (2)
- Supercomputing (25)
News Topics
- (-) Artificial Intelligence (12)
- (-) Biomedical (11)
- (-) Clean Water (8)
- (-) Grid (4)
- (-) Machine Learning (12)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (2)
- Big Data (11)
- Bioenergy (28)
- Biology (43)
- Biotechnology (6)
- Buildings (2)
- Chemical Sciences (5)
- Climate Change (25)
- Composites (2)
- Computer Science (18)
- Coronavirus (6)
- Cybersecurity (8)
- Decarbonization (17)
- Energy Storage (3)
- Environment (59)
- Exascale Computing (5)
- Frontier (4)
- Fusion (12)
- High-Performance Computing (16)
- Hydropower (5)
- ITER (2)
- Materials (2)
- Materials Science (4)
- Mathematics (3)
- Mercury (6)
- Microscopy (7)
- Nanotechnology (3)
- National Security (23)
- Net Zero (2)
- Neutron Science (3)
- Nuclear Energy (19)
- Partnerships (1)
- Physics (2)
- Polymers (1)
- Quantum Science (1)
- Renewable Energy (1)
- Security (6)
- Simulation (11)
- Summit (8)
- Sustainable Energy (19)
- Transportation (1)
Media Contacts
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
For 25 years, scientists at Oak Ridge National Laboratory have used their broad expertise in human health risk assessment, ecology, radiation protection, toxicology and information management to develop widely used tools and data for the U.S. Environmental Protection Agency as part of the agency’s Superfund program.
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
Cody Lloyd became a nuclear engineer because of his interest in the Manhattan Project, the United States’ mission to advance nuclear science to end World War II. As a research associate in nuclear forensics at ORNL, Lloyd now teaches computers to interpret data from imagery of nuclear weapons tests from the 1950s and early 1960s, bringing his childhood fascination into his career
Mirko Musa spent his childhood zigzagging his bike along the Po River. The Po, Italy’s longest river, cuts through a lush valley of grain and vegetable fields, which look like a green and gold ocean spreading out from the river’s banks.
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.