![White car (Porsche Taycan) with the hood popped is inside the building with an american flag on the wall.](/sites/default/files/styles/featured_square_large/public/2024-06/2024-P09317.jpg?h=8f9cfe54&itok=m6sQhZRq)
Filter News
Area of Research
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Computer Science (6)
- (-) Molten Salt (3)
- (-) Nuclear Energy (4)
- (-) Polymers (2)
- 3-D Printing/Advanced Manufacturing (2)
- Artificial Intelligence (1)
- Bioenergy (1)
- Biology (1)
- Biomedical (2)
- Climate Change (1)
- Critical Materials (1)
- Cybersecurity (1)
- Energy Storage (1)
- Environment (2)
- Grid (3)
- Isotopes (2)
- Materials Science (2)
- Mercury (1)
- Neutron Science (1)
- Physics (1)
- Quantum Science (1)
- Security (3)
- Space Exploration (1)
- Summit (2)
- Transportation (5)
Media Contacts
![Kevin Robb, a staff scientist at the Department of Energy’s Oak Ridge National Laboratory, is taking what he learned from developing the Liquid Salt Test Loop—a key tool in deploying molten salt technology applications Kevin Robb, a staff scientist at the Department of Energy’s Oak Ridge National Laboratory, is taking what he learned from developing the Liquid Salt Test Loop—a key tool in deploying molten salt technology applications](/sites/default/files/styles/list_page_thumbnail/public/news/images/2017-P03818_1.jpg?itok=qQLLL9dH)
Thanks in large part to developing and operating a facility for testing molten salt reactor (MSR) technologies, nuclear experts at the Energy Department’s Oak Ridge National Laboratory (ORNL) are now tackling the next generation of another type of clean energy—concentrating ...
Scientists at Oak Ridge National Laboratory have conducted a series of breakthrough experimental and computational studies that cast doubt on a 40-year-old theory describing how polymers in plastic materials behave during processing.
![ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system. ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system.](/sites/default/files/styles/list_page_thumbnail/public/news/images/RAvENNA%20release%20pic.png?itok=2bDpK5Mo)
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the