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![Using as much as 50 percent lignin by weight, a new composite material created at ORNL is well suited for use in 3D printing. Using as much as 50 percent lignin by weight, a new composite material created at ORNL is well suited for use in 3D printing.](/sites/default/files/styles/list_page_thumbnail/public/2018-P09551.jpg?itok=q7Ri01Qb)
Scientists at the Department of Energy’s Oak Ridge National Laboratory have created a recipe for a renewable 3D printing feedstock that could spur a profitable new use for an intractable biorefinery byproduct: lignin.
![OAK RIDGE, Tenn., Nov. 27, 2018—The Spallation Neutron Source at the Department of Energy’s Oak Ridge National Laboratory has broken a new record by ending its first neutron production cycle in fiscal year 2019 at its design power level of 1.4 megawatts. OAK RIDGE, Tenn., Nov. 27, 2018—The Spallation Neutron Source at the Department of Energy’s Oak Ridge National Laboratory has broken a new record by ending its first neutron production cycle in fiscal year 2019 at its design power level of 1.4 megawatts.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2015-P05970%5B7%5D.jpg?itok=MK35c7c-)
The Spallation Neutron Source at the Department of Energy’s Oak Ridge National Laboratory has broken a new record by ending its first neutron production cycle in fiscal year 2019 at its design power level of 1.4 megawatts.
![Graphical representation of a deuteron, the bound state of a proton (red) and a neutron (blue). Credit: Andy Sproles/Oak Ridge National Laboratory, U.S. Dept. of Energy. Graphical representation of a deuteron, the bound state of a proton (red) and a neutron (blue). Credit: Andy Sproles/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/news/images/deuteron%5B4%5D.jpg?itok=hEV9C82i)
Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...
![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