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Media Contacts
![Transformational Challenge Reactor Demonstration items](/sites/default/files/styles/list_page_thumbnail/public/2020-03/Press_release_image.jpg?h=b707efd5&itok=-Sxbmt8D)
Researchers at the Department of Energy’s Oak Ridge National Laboratory are refining their design of a 3D-printed nuclear reactor core, scaling up the additive manufacturing process necessary to build it, and developing methods
![Researchers at DOE’s Manufacturing Demonstration Facility at ORNL developed a reusable face mask prototype with injection molding that will enable industry to rapidly manufacture. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-05/2020-P03026_0.jpg?h=5d08f34f&itok=CbBMXqMW)
In the fight against the COVID-19 pandemic, it’s a race against the clock not only to find a vaccine but also to supply healthcare workers with life-saving equipment such as face shields, masks and test kits.
![XACC enables the programming of quantum code alongside standard classical code and integrates quantum computers from a number of vendors. This animation illustrates how QPUs complete calculations and return results to the host CPU, a process that could drastically accelerate future scientific simulations. Credit: Michelle Lehman/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/2020-04/xacc_0.gif)
In the early 2000s, high-performance computing experts repurposed GPUs — common video game console components used to speed up image rendering and other time-consuming tasks
![ORNL’s Brian Post](/sites/default/files/styles/list_page_thumbnail/public/2020-04/2019-P15202.png?h=49ab6177&itok=p6bfJs5T)
Brian Post, a researcher in large-scale additive manufacturing at ORNL, has been selected as a recipient of the 2020 Outstanding Young Manufacturing Engineer Award by SME.
![Coronavirus graphic](/sites/default/files/styles/list_page_thumbnail/public/2020-04/covid19_jh_0.png?h=d1cb525d&itok=PyngFUZw)
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
![ORNL scientists are combining their expertise in environmental science, physics, sensors and additive manufacturing to create model fish for use in testing of hydropower turbine designs. The project supports healthy ecosystems and hydropower—the nation’s largest renewable energy resource. Photo credit: Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2020-03/2019-P16416.jpg?h=036a71b7&itok=7rGorkvo)
Hydropower developers must consider many factors when it comes time to license a new project or renew an existing one: How can environmental impacts be mitigated, including to fish populations?
![Coronavirus research](/sites/default/files/styles/list_page_thumbnail/public/2020-03/still_original.png?h=d1cb525d&itok=0Md1n6Ct)
Researchers at the Department of Energy’s Oak Ridge National Laboratory have used Summit, the world’s most powerful and smartest supercomputer, to identify 77 small-molecule drug compounds that might warrant further study in the fight
![The agreement builds upon years of collaboration, including a 2016 effort using modeling tools developed at ORNL to predict the first six months of operations of TVA’s Watts Bar Unit 2 nuclear power plant. Credit: Andrew Godfrey/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/wb2_xenon_1.png?h=19940d61&itok=Da4pDLde)
OAK RIDGE, Tenn., Feb. 19, 2020 — The U.S. Department of Energy’s Oak Ridge National Laboratory and the Tennessee Valley Authority have signed a memorandum of understanding to evaluate a new generation of flexible, cost-effective advanced nuclear reactors.
![The image visualizes how the team’s multitask convolutional neural network classifies primary cancer sites. Image credit: Hong-Jun Yoon/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2020-02/shot_0.png?h=49ab6177&itok=IXL5Ingy)
As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.
![A new computational approach by ORNL can more quickly scan large-scale satellite images, such as these of Puerto Rico, for more accurate mapping of complex infrastructure like buildings. Credit: Maxar Technologies and Dalton Lunga/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Puerto_Rico_Resflow9.png?h=a0a1befd&itok=5n2fss_e)
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.