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![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)
![A conceptual illustration of proton-proton fusion in which two protons fuse to form a deuteron. Image courtesy of William Detmold. A conceptual illustration of proton-proton fusion in which two protons fuse to form a deuteron. Image courtesy of William Detmold.](/sites/default/files/styles/list_page_thumbnail/public/news/images/ppfusion%5B2%5D%20R1.png?itok=i8NTzm-5)
Nuclear physicists are using the nation’s most powerful supercomputer, Titan, at the Oak Ridge Leadership Computing Facility to study particle interactions important to energy production in the Sun and stars and to propel the search for new physics discoveries Direct calculatio...
![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