![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
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (37)
- Clean Energy (61)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (3)
- Fusion and Fission (4)
- Isotopes (22)
- Materials (36)
- Materials for Computing (7)
- National Security (31)
- Neutron Science (19)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
- Supercomputing (49)
News Type
News Topics
- (-) Artificial Intelligence (75)
- (-) Biomedical (45)
- (-) Clean Water (15)
- (-) Composites (15)
- (-) Cybersecurity (31)
- (-) Isotopes (45)
- (-) Machine Learning (35)
- (-) Transportation (52)
- 3-D Printing/Advanced Manufacturing (81)
- Advanced Reactors (18)
- Big Data (30)
- Bioenergy (74)
- Biology (80)
- Biotechnology (18)
- Buildings (31)
- Chemical Sciences (51)
- Climate Change (70)
- Computer Science (139)
- Coronavirus (34)
- Critical Materials (13)
- Decarbonization (64)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (69)
- Environment (137)
- Exascale Computing (34)
- Fossil Energy (5)
- Frontier (38)
- Fusion (43)
- Grid (38)
- High-Performance Computing (69)
- Hydropower (5)
- ITER (4)
- Materials (100)
- Materials Science (94)
- Mathematics (6)
- Mercury (9)
- Microelectronics (3)
- Microscopy (36)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (53)
- Net Zero (11)
- Neutron Science (96)
- Nuclear Energy (80)
- Partnerships (43)
- Physics (52)
- Polymers (20)
- Quantum Computing (29)
- Quantum Science (56)
- Renewable Energy (2)
- Security (22)
- Simulation (38)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (50)
- Sustainable Energy (74)
- Transformational Challenge Reactor (7)
Media Contacts
![ORNL researchers Todd Toops, Charles Finney, and Melanie DeBusk (left to right) hold an example of a particulate filter used to collect harmful emissions in vehicles. ORNL researchers Todd Toops, Charles Finney, and Melanie DeBusk (left to right) hold an example of a particulate filter used to collect harmful emissions in vehicles.](/sites/default/files/styles/list_page_thumbnail/public/news/images/CG-1D%20user%20-%20ETSD_Toops-2878R_r1.jpg?itok=sRbVXIkF)
Researchers are looking to neutrons for new ways to save fuel during the operation of filters that clean the soot, or carbon and ash-based particulate matter, emitted by vehicles. A team of researchers from the Energy and Transportation Science Division at the Department of En...
![Germina Ilas (left) and Ian Gauld review spent fuel data entries in the SFCOMPO 2.0 database. Germina Ilas (left) and Ian Gauld review spent fuel data entries in the SFCOMPO 2.0 database.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2018-P00005_r3_0.jpg?itok=FrGhhOuK)
![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 Image](/sites/default/files/styles/list_page_thumbnail/public/2017-S00094_2.jpg?itok=ZGWBnMOv)
Researchers used neutrons to probe a running engine at ORNL’s Spallation Neutron Source
![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.