![Researcher Brittany Rodriguez works with an ORNL-developed Additive Manufacturing/Compression Molding system that 3D prints large-scale, high-volume parts made from lightweight composites. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/featured_square_large/public/2024-07/Rodriguez%20profile%20photo%202.jpg?h=b3660f0d&itok=xn0NRyVn)
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Media Contacts
![Mircea Podar](/sites/default/files/styles/list_page_thumbnail/public/2020-03/2018-P06199%5B2%5D.jpg?h=1116cd87&itok=TJmKEn0t)
Mircea Podar, Distinguished Staff Scientist and Leader of the Systems Genetics Group in the Biosciences Division at Oak Ridge National Laboratory, has been elected fellow of the American Academy of Microbiology.
![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.
![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.
![Examples from the ORNL Overhead Vehicle Dataset, generated with images captured by GRIDSMART cameras. Image: Thomas Karnowski/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2020-02/truckgrid-corrected-1024x745.png?h=bc62b519&itok=HY9xstgl)
Each year, approximately 6 billion gallons of fuel are wasted as vehicles wait at stop lights or sit in dense traffic with engines idling, according to US Department of Energy estimates.
![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 team of scientists led by Oak Ridge National Laboratory found that while all regions of the country can expect an earlier start to the growing season as temperatures rise, the trend is likely to become more variable year-over-year in hotter regions.
![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.