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Media Contacts
![Small modular reactor computer simulation](/sites/default/files/styles/list_page_thumbnail/public/2019-04/Nuclear_simulation_scale-up.jpg?h=5992a83f&itok=A0oscIPL)
Nuclear scientists at Oak Ridge National Laboratory are retooling existing software used to simulate radiation transport in small modular reactors, or SMRs, to run more efficiently on next-generation supercomputers. ORNL is working on various aspects of advanced SMR designs through s...
![Joseph Lukens, Pavel Lougovski and Nicholas Peters (from left), researchers with ORNL’s Quantum Information Science Group, are examining methods for encoding photons with quantum information that are compatible with the existing telecommunications infrast Joseph Lukens, Pavel Lougovski and Nicholas Peters (from left), researchers with ORNL’s Quantum Information Science Group, are examining methods for encoding photons with quantum information that are compatible with the existing telecommunications infrast](/sites/default/files/styles/list_page_thumbnail/public/news/images/QIS%20photo%5B1%5D.jpg?itok=CPhznRBf)
![Oak Ridge National Laboratory researcher Halil Tekinalp combines silanes and polylactic acid to create supertough renewable plastic. Oak Ridge National Laboratory researcher Halil Tekinalp combines silanes and polylactic acid to create supertough renewable plastic.](/sites/default/files/styles/list_page_thumbnail/public/news/images/02%20Materials-Supertough_bioplastic.jpg?itok=64jAyN8y)
A novel method developed at Oak Ridge National Laboratory creates supertough renewable plastic with improved manufacturability. Working with polylactic acid, a biobased plastic often used in packaging, textiles, biomedical implants and 3D printing, the research team added tiny amo...
![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
![An example of a spiking neural network shows how data can be classified using the neuromorphic device. Credit: Catherine Schuman and Margaret Drouhard/Oak Ridge National Laboratory, U.S. Dept. of Energy An example of a spiking neural network shows how data can be classified using the neuromorphic device. Credit: Catherine Schuman and Margaret Drouhard/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/Spiking_neural_network_ORNL_2.jpg?itok=CN68Ze_4)
![Fossil_energy_ORNL3.jpg Fossil_energy_ORNL3.jpg](/sites/default/files/styles/list_page_thumbnail/public/Fossil_energy_ORNL3.jpg?itok=jVslmxRP)
![shape-memory conductors shape-memory conductors](/sites/default/files/styles/list_page_thumbnail/public/Screen%20Shot%202017-12-22%20at%202.01.38%20PM.jpg?itok=MBU7cvsD)
A novel approach that creates a renewable, leathery material—programmed to remember its shape—may offer a low-cost alternative to conventional conductors for applications in sensors and robotics. To make the bio-based, shape-memory material, Oak Ridge National Laboratory scientists streamlined a solvent-free process that mixes rubber with lignin—the by-product of woody plants used to make biofuels.
![Neutrons-Exotic_particles.jpg Neutrons-Exotic_particles.jpg](/sites/default/files/styles/list_page_thumbnail/public/Neutrons-Exotic_particles.jpg?itok=9vxFNwzw)