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Media Contacts
![Prospecting for deformations in exotic isotopes of ruthenium and molybdenum, Allmond found they displayed a deflated-football morphology. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-04/IMAGE%203_2020-P02143.jpg?h=8f9cfe54&itok=Po6fBAGf)
In the Physics Division of the Department of Energy’s Oak Ridge National Laboratory, James (“Mitch”) Allmond conducts experiments and uses theoretical models to advance our understanding of the structure of atomic nuclei, which are made of various combinations of protons and neutrons (nucleons).
![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.
![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.
![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.
![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.
![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.