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Media Contacts
![Kat Royston](/sites/default/files/styles/list_page_thumbnail/public/2020-04/Kat%20Royston%20profile_0.jpg?h=036a71b7&itok=WTyE2n4S)
As a teenager, Kat Royston had a lot of questions. Then an advanced-placement class in physics convinced her all the answers were out there.
![Jitendra Kumar](/sites/default/files/styles/list_page_thumbnail/public/2020-03/2020-P01524.jpg?h=8f9cfe54&itok=4qLGEiqt)
Jitendra Kumar, a researcher at the Department of Energy’s Oak Ridge National Laboratory, has been elevated to the grade of senior member of the Institute of Electrical and Electronics Engineers (IEEE).
![VERA’s tools allow a virtual “window” inside the reactor core, down to a molecular level.](/sites/default/files/styles/list_page_thumbnail/public/2020-03/core.png?h=dc920c3f&itok=BggaFrQA)
A software package, 10 years in the making, that can predict the behavior of nuclear reactors’ cores with stunning accuracy has been licensed commercially for the first time.
![Postdoctoral researcher Nischal Kafle positions a component for a portable plasma imaging diagnostic device at ORNL in February. The device, a project for ARPA-E, is built of off-the-shelf parts. Credit: Carlos Jones/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2020-03/2020-P00808.jpg?h=8f9cfe54&itok=TGI-lQiS)
The techniques Theodore Biewer and his colleagues are using to measure whether plasma has the right conditions to create fusion have been around awhile.
![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
![Scientists created a novel polymer that is as effective as natural proteins in transporting protons through a membrane. Credit: ORNL/Jill Hemman](/sites/default/files/styles/list_page_thumbnail/public/2020-03/19-G01195_nature_feature_0.png?h=e4fbc3eb&itok=K8czXmTr)
Biological membranes, such as the “walls” of most types of living cells, primarily consist of a double layer of lipids, or “lipid bilayer,” that forms the structure, and a variety of embedded and attached proteins with highly specialized functions, including proteins that rapidly and selectively transport ions and molecules in and out of the cell.
![Polymer self-assembly at the liquid-liquid interface in real time](/sites/default/files/styles/list_page_thumbnail/public/2020-02/descent.png?h=d1cb525d&itok=rz3eSM-H)
OAK RIDGE, Tenn., Feb. 27, 2020 — Researchers at Oak Ridge National Laboratory and the University of Tennessee achieved a rare look at the inner workings of polymer self-assembly at an oil-water interface to advance materials for neuromorphic computing and bio-inspired technologies.
![Edge computing is both dependent on and greatly influencing a host of promising technologies including (clockwise from top left): quantum computing; high-performance computing; neuromorphic computing; and carbon nanotubes.](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Jones%20image%202-12-20.png?h=2e876d46&itok=fT3y4uz9)
We have a data problem. Humanity is now generating more data than it can handle; more sensors, smartphones, and devices of all types are coming online every day and contributing to the ever-growing global dataset.
![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.