Filter News
Area of Research
- (-) Supercomputing (33)
- Advanced Manufacturing (2)
- Biology and Environment (21)
- Clean Energy (47)
- Climate and Environmental Systems (1)
- Computer Science (3)
- Energy Frontier Research Centers (1)
- Fusion and Fission (10)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (39)
- Materials for Computing (4)
- National Security (9)
- Neutron Science (20)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
News Topics
- (-) Artificial Intelligence (12)
- (-) Bioenergy (6)
- (-) Coronavirus (5)
- (-) Grid (3)
- (-) Machine Learning (5)
- (-) Nanotechnology (5)
- (-) Quantum Science (10)
- (-) Space Exploration (1)
- (-) Transportation (2)
- 3-D Printing/Advanced Manufacturing (3)
- Big Data (1)
- Biology (4)
- Biomedical (5)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (3)
- Climate Change (3)
- Computer Science (31)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (5)
- Environment (3)
- Exascale Computing (7)
- Frontier (12)
- High-Performance Computing (11)
- Isotopes (1)
- Materials (8)
- Materials Science (6)
- Microscopy (5)
- Molten Salt (1)
- National Security (5)
- Neutron Science (7)
- Nuclear Energy (1)
- Partnerships (1)
- Physics (4)
- Quantum Computing (5)
- Security (4)
- Simulation (1)
- Summit (14)
- Sustainable Energy (5)
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).
Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...
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