Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (1)
- (-) Clean Water (1)
- (-) Composites (3)
- (-) Grid (3)
- (-) Nuclear Energy (10)
- (-) Quantum Science (3)
- (-) Security (7)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Big Data (1)
- Bioenergy (2)
- Biology (1)
- Biomedical (4)
- Climate Change (1)
- Computer Science (14)
- Critical Materials (1)
- Cybersecurity (3)
- Energy Storage (2)
- Environment (3)
- Fusion (4)
- Isotopes (6)
- Materials Science (10)
- Mercury (1)
- Microscopy (5)
- Molten Salt (4)
- Nanotechnology (9)
- Neutron Science (8)
- Physics (9)
- Polymers (5)
- Space Exploration (2)
- Summit (2)
- Transportation (7)
Media Contacts
A shield assembly that protects an instrument measuring ion and electron fluxes for a NASA mission to touch the Sun was tested in extreme experimental environments at Oak Ridge National Laboratory—and passed with flying colors. Components aboard Parker Solar Probe, which will endure th...
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...
James Peery, who led critical national security programs at Sandia National Laboratories and held multiple leadership positions at Los Alamos National Laboratory before arriving at the Department of Energy’s Oak Ridge National Laboratory last year, has been named a...
Vlastimil Kunc grew up in a family of scientists where his natural curiosity was encouraged—an experience that continues to drive his research today in polymer composite additive manufacturing at Oak Ridge National Laboratory. “I’ve been interested in the science of composites si...
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