![Sphere that has the top right fourth removed (exposed) Colors from left are orange, dark blue with orange dots, light blue with horizontal lines, then black. Inside the exposure is green and black with boxes.](/sites/default/files/styles/featured_square_large/public/2024-06/slicer.jpg?h=56311bf6&itok=bCZz09pJ)
Filter News
Area of Research
- (-) Supercomputing (84)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (38)
- Clean Energy (54)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (2)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (28)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (46)
- Materials for Computing (4)
- National Security (29)
- Neutron Science (22)
- Nuclear Science and Technology (26)
- Quantum information Science (6)
News Type
News Topics
- (-) Artificial Intelligence (35)
- (-) Biomedical (13)
- (-) Exascale Computing (21)
- (-) Grid (5)
- (-) Machine Learning (13)
- (-) Nuclear Energy (3)
- (-) Quantum Science (21)
- 3-D Printing/Advanced Manufacturing (5)
- Big Data (15)
- Bioenergy (9)
- Biology (10)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (4)
- Climate Change (15)
- Computer Science (78)
- Coronavirus (12)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (7)
- Environment (17)
- Frontier (27)
- High-Performance Computing (35)
- Isotopes (1)
- Materials (14)
- Materials Science (15)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Partnerships (1)
- Physics (7)
- Quantum Computing (15)
- Security (5)
- Simulation (13)
- Software (1)
- Space Exploration (2)
- Summit (36)
- Sustainable Energy (9)
- Transportation (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).
![Joseph Lukens, Raphael Pooser, and Nick Peters (from left) of ORNL’s Quantum Information Science Group developed and tested a new interferometer made from highly nonlinear fiber in pursuit of improved sensitivity at the quantum scale. Credit: Carlos Jones](/sites/default/files/styles/list_page_thumbnail/public/news/images/2018-P09674%5B4%5D.jpg?h=1d98ccbd&itok=ztuyXqpm)
By analyzing a pattern formed by the intersection of two beams of light, researchers can capture elusive details regarding the behavior of mysterious phenomena such as gravitational waves. Creating and precisely measuring these interference patterns would not be possible without instruments called interferometers.
![Graphical representation of a deuteron, the bound state of a proton (red) and a neutron (blue). Credit: Andy Sproles/Oak Ridge National Laboratory, U.S. Dept. of Energy. Graphical representation of a deuteron, the bound state of a proton (red) and a neutron (blue). Credit: Andy Sproles/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/news/images/deuteron%5B4%5D.jpg?itok=hEV9C82i)
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...
![ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system. ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system.](/sites/default/files/styles/list_page_thumbnail/public/news/images/RAvENNA%20release%20pic.png?itok=2bDpK5Mo)
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