Filter News
Area of Research
- (-) Neutron Science (23)
- (-) Supercomputing (124)
- Advanced Manufacturing (5)
- Biology and Environment (60)
- Building Technologies (2)
- Clean Energy (148)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (3)
- Isotopes (1)
- Materials (72)
- Materials for Computing (20)
- Mathematics (1)
- National Security (32)
- Nuclear Science and Technology (4)
- Quantum information Science (8)
- Transportation Systems (2)
News Topics
- (-) Computer Science (98)
- (-) Cybersecurity (9)
- (-) Frontier (29)
- (-) Microscopy (8)
- (-) Polymers (3)
- (-) Sustainable Energy (11)
- (-) Transportation (10)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (2)
- Artificial Intelligence (39)
- Big Data (20)
- Bioenergy (13)
- Biology (14)
- Biomedical (25)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (17)
- Composites (1)
- Coronavirus (17)
- Critical Materials (3)
- Decarbonization (7)
- Energy Storage (14)
- Environment (28)
- Exascale Computing (22)
- Fossil Energy (1)
- Fusion (2)
- Grid (5)
- High-Performance Computing (39)
- Isotopes (1)
- Machine Learning (16)
- Materials (28)
- Materials Science (33)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (19)
- National Security (8)
- Net Zero (1)
- Neutron Science (101)
- Nuclear Energy (7)
- Partnerships (1)
- Physics (16)
- Quantum Computing (19)
- Quantum Science (29)
- Security (6)
- Simulation (14)
- Software (1)
- Space Exploration (5)
- Summit (42)
Media Contacts
Scientists at Oak Ridge National Laboratory have conducted a series of breakthrough experimental and computational studies that cast doubt on a 40-year-old theory describing how polymers in plastic materials behave during processing.
![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...
![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
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
![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.