Filter News
Area of Research
- (-) Advanced Manufacturing (5)
- (-) Supercomputing (27)
- Biological Systems (1)
- Biology and Environment (9)
- Clean Energy (26)
- Computational Engineering (1)
- Computer Science (5)
- Fusion Energy (2)
- Isotopes (1)
- Materials (70)
- Materials for Computing (3)
- National Security (7)
- Neutron Science (19)
- Nuclear Science and Technology (4)
- Quantum information Science (2)
- Sensors and Controls (1)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (13)
- (-) Biomedical (10)
- (-) Materials Science (12)
- (-) Microscopy (2)
- (-) Security (1)
- 3-D Printing/Advanced Manufacturing (16)
- Advanced Reactors (2)
- Big Data (13)
- Bioenergy (5)
- Biology (1)
- Chemical Sciences (1)
- Climate Change (1)
- Composites (1)
- Computer Science (59)
- Coronavirus (8)
- Critical Materials (1)
- Cybersecurity (4)
- Decarbonization (1)
- Energy Storage (2)
- Environment (7)
- Exascale Computing (4)
- Frontier (3)
- Fusion (2)
- Grid (3)
- High-Performance Computing (2)
- Isotopes (1)
- Machine Learning (5)
- Materials (3)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (1)
- Neutron Science (10)
- Nuclear Energy (4)
- Physics (4)
- Polymers (2)
- Quantum Science (13)
- Space Exploration (2)
- Summit (24)
- Sustainable Energy (6)
- Transformational Challenge Reactor (1)
- Transportation (4)
Media Contacts
OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).
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