Filter News
Area of Research
- (-) Clean Energy (131)
- (-) Supercomputing (54)
- Advanced Manufacturing (8)
- Biology and Environment (55)
- Building Technologies (4)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Fusion Energy (2)
- Materials (36)
- Materials for Computing (6)
- Mathematics (1)
- National Security (31)
- Neutron Science (12)
- Nuclear Science and Technology (2)
- Quantum information Science (3)
News Topics
- (-) Artificial Intelligence (41)
- (-) Buildings (37)
- (-) Clean Water (8)
- (-) Composites (17)
- (-) Cybersecurity (14)
- (-) Software (1)
- (-) Sustainable Energy (71)
- 3-D Printing/Advanced Manufacturing (80)
- Advanced Reactors (7)
- Big Data (24)
- Bioenergy (29)
- Biology (19)
- Biomedical (22)
- Biotechnology (6)
- Chemical Sciences (16)
- Climate Change (35)
- Computer Science (107)
- Coronavirus (25)
- Critical Materials (12)
- Decarbonization (35)
- Energy Storage (75)
- Environment (68)
- Exascale Computing (23)
- Fossil Energy (2)
- Frontier (28)
- Fusion (2)
- Grid (42)
- High-Performance Computing (39)
- Hydropower (2)
- Isotopes (1)
- Machine Learning (19)
- Materials (45)
- Materials Science (40)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (1)
- Nanotechnology (15)
- National Security (11)
- Net Zero (4)
- Neutron Science (20)
- Nuclear Energy (11)
- Partnerships (12)
- Physics (7)
- Polymers (13)
- Quantum Computing (19)
- Quantum Science (25)
- Renewable Energy (1)
- Security (9)
- Simulation (16)
- Space Exploration (6)
- Statistics (1)
- Summit (43)
- Transformational Challenge Reactor (3)
- Transportation (69)
Media Contacts
![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
![Manufacturing_tailoring_performance Manufacturing_tailoring_performance](/sites/default/files/styles/list_page_thumbnail/public/news/images/Manufacturing_tailoring_performance.jpg?itok=ijYcyHyE)
A new manufacturing method created by Oak Ridge National Laboratory and Rice University combines 3D printing with traditional casting to produce damage-tolerant components composed of multiple materials. Composite components made by pouring an aluminum alloy over a printed steel lattice showed an order of magnitude greater damage tolerance than aluminum alone.
![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.