Filter News
Area of Research
News Type
News Topics
- (-) Artificial Intelligence (8)
- (-) Computer Science (31)
- (-) Cybersecurity (7)
- (-) Microscopy (3)
- (-) Security (7)
- (-) Sustainable Energy (6)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (3)
- Big Data (2)
- Bioenergy (12)
- Biology (1)
- Biomedical (6)
- Biotechnology (1)
- Clean Water (3)
- Climate Change (1)
- Composites (3)
- Critical Materials (2)
- Energy Storage (5)
- Environment (15)
- Exascale Computing (3)
- Frontier (2)
- Fusion (3)
- Grid (4)
- Isotopes (6)
- Machine Learning (2)
- Materials Science (10)
- Mercury (2)
- Molten Salt (1)
- Nanotechnology (6)
- Neutron Science (13)
- Nuclear Energy (10)
- Physics (7)
- Polymers (2)
- Quantum Science (9)
- Space Exploration (2)
- Summit (9)
- Transportation (8)
Media Contacts
A scientific team led by the Department of Energy’s Oak Ridge National Laboratory has found a new way to take the local temperature of a material from an area about a billionth of a meter wide, or approximately 100,000 times thinner than a human hair. This discove...
Nuclear physicists are using the nation’s most powerful supercomputer, Titan, at the Oak Ridge Leadership Computing Facility to study particle interactions important to energy production in the Sun and stars and to propel the search for new physics discoveries Direct calculatio...
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
ORNL helps develop hybrid computational strategy for efficient sequencing of massive genome datasets
Computing experts at the Department of Energy’s Oak Ridge National Laboratory collaborated with a team of university researchers and software companies to develop a novel hybrid computational strategy to efficiently discover genetic variants
The Department of Energy’s Oak Ridge National Laboratory has received funding from DOE’s Exascale Computing Project (ECP) to develop applications for future exascale systems that will be 50 to 100 times more powerful than today’s fastest supercomputers.