Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (1)
- (-) Nuclear Energy (5)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Big Data (1)
- Bioenergy (2)
- Biology (1)
- Biomedical (1)
- Composites (2)
- Computer Science (9)
- Cybersecurity (2)
- Environment (1)
- Fusion (2)
- Isotopes (2)
- Materials Science (5)
- Microscopy (3)
- Nanotechnology (5)
- Neutron Science (5)
- Physics (7)
- Polymers (1)
- Quantum Science (3)
- Security (5)
- Summit (2)
- Transportation (1)
Media Contacts
The Department of Energy’s Oak Ridge National Laboratory is collaborating with industry on six new projects focused on advancing commercial nuclear energy technologies that offer potential improvements to current nuclear reactors and move new reactor designs closer to deployment.
More than 70 years ago, United States Navy Captain Hyman Rickover learned the ins and outs of nuclear science and reactor technology at the Clinton Training School at what would eventually become the Department of Energy’s Oak Ridge National Laboratory. Rickover applied his knowl...
If you ask the staff and researchers at the Department of Energy’s Oak Ridge National Laboratory how they were first referred to the lab, you will get an extremely varied list of responses. Some may have come here as student interns, some grew up in the area and knew the lab by ...
The United Kingdom’s National Nuclear Laboratory and the U.S. Department of Energy’s Oak Ridge National Laboratory have agreed to cooperate on a wide range of nuclear energy research and development efforts that leverage both organizations’ unique expertise and capabilities.
It may take a village to raise a child, according to the old proverb, but it takes an entire team of highly trained scientists and engineers to install and operate a state-of-the-art, exceptionally complex ion microprobe. Just ask Julie Smith, a nuclear security scientist at the Depa...
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