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Media Contacts
![Hector J. Santos-Villalobos, left, and Oscar A. Martinez](/sites/default/files/styles/list_page_thumbnail/public/2020-08/henaac20.jpg?h=158d9140&itok=-NxooIrE)
Two staff members at the Department of Energy’s Oak Ridge National Laboratory have received prestigious HENAAC and Luminary Awards from Great Minds in STEM, a nonprofit organization that focuses on promoting STEM careers in underserved
![Quantum Science Center](/sites/default/files/styles/list_page_thumbnail/public/2020-08/QSC1119x478_0.jpg?h=bc8e7609&itok=aajhUtmU)
The Department of Energy has selected Oak Ridge National Laboratory to lead a collaboration charged with developing quantum technologies that will usher in a new era of innovation.
![3D-printed 316L steel has been irradiated along with traditionally wrought steel samples. Researchers are comparing how they perform at various temperatures and varying doses of radiation. Credit: Jaimee Janiga/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2020-08/X2001337_TCR_IrradiatedMaterials_Bumpus_jnj-04.jpg?h=e3a8e2b5&itok=pXslTCBN)
It’s a new type of nuclear reactor core. And the materials that will make it up are novel — products of Oak Ridge National Laboratory’s advanced materials and manufacturing technologies.
![A structural model of HgcA, shown in cyan, and HgcB, shown in purple, were created using metagenomic techniques to better understand the transformation of mercury into its toxic form, methylmercury. Photo credit: Connor Cooper/ORNL, U.S. Dept of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-08/methylmercury%20protein%20folding_0.png?h=4a7d1ed4&itok=fWObhykl)
A team led by ORNL created a computational model of the proteins responsible for the transformation of mercury to toxic methylmercury, marking a step forward in understanding how the reaction occurs and how mercury cycles through the environment.
![3D-printed intensified device](/sites/default/files/styles/list_page_thumbnail/public/2020-08/2019-P16563_0.jpg?h=036a71b7&itok=zp8oaqVN)
Oak Ridge National Laboratory researchers have designed and additively manufactured a first-of-its-kind aluminum device that enhances the capture of carbon dioxide emitted from fossil fuel plants and other industrial processes.
![William Peter](/sites/default/files/styles/list_page_thumbnail/public/2020-08/2017-P06951_0.jpg?h=c74750f6&itok=KrJNg4MJ)
The Society of Manufacturing Engineers, known as SME, has named William Peter, director of Oak Ridge National Laboratory’s Manufacturing Demonstration Facility in the Energy and Environmental Sciences Directorate, among its 2020 College of SME Fellows.
![Researcher Chase Joslin uses Peregrine software to monitor and analyze a component being 3D printed at the Manufacturing Demonstration Facility at ORNL. Credit: Luke Scime/ORNL, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Peregrine%20Chase%20Joslin_0.jpg?h=51c7b451&itok=4Hc6PNwu)
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
![Andrew Harter, pictured, and fellow ORNL staff members formed Horizon31 to build a set of products and services that provide customized unmanned vehicle control systems. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-08/2018-P09718_0.jpg?h=dd220a27&itok=n2MR7GK5)
Horizon31, LLC has exclusively licensed a novel communication system that allows users to reliably operate unmanned vehicles such as drones from anywhere in the world using only an internet connection.
![Cars and coronavirus](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Transportation-Gauging_pandemic_impact_ORNL_0.jpg?h=4a7d1ed4&itok=Xqx4kknO)
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
![ORNL’s Lab-on-a-crystal uses machine learning to correlate materials’ mechanical, optical and electrical responses to dynamic environments. Credit: Ilia Ivanov/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-08/lab_on_crystal2_0.png?h=bc215d7c&itok=5Zsjkf9e)
An all-in-one experimental platform developed at Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences accelerates research on promising materials for future technologies.