Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (16)
- Clean Energy (20)
- Computational Engineering (1)
- Computer Science (3)
- Isotopes (6)
- Materials (28)
- Materials for Computing (4)
- National Security (15)
- Neutron Science (14)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Supercomputing (43)
News Type
News Topics
- (-) Artificial Intelligence (29)
- (-) Biomedical (17)
- (-) Clean Water (1)
- (-) Climate Change (22)
- (-) Cybersecurity (17)
- (-) Isotopes (17)
- (-) Quantum Science (26)
- (-) Summit (20)
- 3-D Printing/Advanced Manufacturing (44)
- Advanced Reactors (10)
- Big Data (8)
- Bioenergy (24)
- Biology (22)
- Biotechnology (7)
- Buildings (13)
- Chemical Sciences (29)
- Composites (9)
- Computer Science (57)
- Coronavirus (17)
- Critical Materials (11)
- Decarbonization (18)
- Education (3)
- Element Discovery (1)
- Energy Storage (41)
- Environment (36)
- Exascale Computing (9)
- Fossil Energy (1)
- Frontier (14)
- Fusion (14)
- Grid (15)
- High-Performance Computing (26)
- ITER (2)
- Machine Learning (13)
- Materials (59)
- Materials Science (50)
- Mercury (2)
- Microscopy (16)
- Molten Salt (2)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (49)
- Nuclear Energy (25)
- Partnerships (27)
- Physics (24)
- Polymers (12)
- Quantum Computing (9)
- Renewable Energy (1)
- Security (11)
- Simulation (8)
- Space Exploration (3)
- Statistics (2)
- Sustainable Energy (31)
- Transformational Challenge Reactor (4)
- Transportation (24)
Media Contacts
![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
![ORNL-Lenvio_tech_license_signing_ceremony2 ORNL-Lenvio_tech_license_signing_ceremony2](/sites/default/files/styles/list_page_thumbnail/public/ORNL-Lenvio_tech_license_signing_ceremony2.jpg?itok=xcfN-PbJ)
Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory that can quickly detect malicious behavior in software not previously identified as a threat.