Filter News
Area of Research
News Type
News Topics
- (-) Artificial Intelligence (1)
- (-) Grid (3)
- (-) Polymers (2)
- (-) Summit (2)
- 3-D Printing/Advanced Manufacturing (3)
- Bioenergy (2)
- Biology (1)
- Biomedical (2)
- Climate Change (1)
- Composites (1)
- Computer Science (5)
- Critical Materials (1)
- Cybersecurity (1)
- Energy Storage (1)
- Environment (2)
- Materials Science (1)
- Mercury (1)
- Nanotechnology (1)
- Neutron Science (3)
- Physics (2)
- Quantum Science (1)
- Security (2)
- Space Exploration (1)
- Transportation (4)
Media Contacts
As Puerto Rico works to restore and modernize its power grid after last year’s devastating hurricane season, researchers at Oak Ridge National Laboratory have stepped up to provide unique analysis, sensing and modeling tools to better inform decisions.
Oak Ridge National Laboratory scientists have devised a method to control the heating and cooling systems of a large network of buildings for power grid stability—all while ensuring the comfort of occupants.
Oak Ridge National Laboratory scientists have developed a crucial component for a new kind of low-cost stationary battery system utilizing common materials and designed for grid-scale electricity storage. Large, economical electricity storage systems can benefit the nation’s grid ...
The US Department of Energy’s Oak Ridge National Laboratory is once again officially home to the fastest supercomputer in the world, according to the TOP500 List, a semiannual ranking of the world’s fastest computing systems.
The U.S. Department of Energy’s Oak Ridge National Laboratory today unveiled Summit as the world’s most powerful and smartest scientific supercomputer.
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.
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