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Media Contacts
![Joe Paddison a Eugene P. Wigner Fellow, studies how statistical sampling methods can be coupled with neutron scattering experiments of magnetic and other new materials to provide richer information. Image credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Department of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2020-03/Paddison200_0.jpg?h=74c6825a&itok=aybwDrH-)
Joe Paddison, a Eugene P. Wigner Fellow at the Department of Energy’s Oak Ridge National Laboratory, believes there’s more information to be found in neutron scattering data than scientists like himself might expect.
![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.
![Nils Stenvig is modeling the nation’s bulk electric system for DOE’s North American Energy Resilience Model to better understand and predict the grid’s behavior.](/sites/default/files/styles/list_page_thumbnail/public/2020-02/2020-P01355_0.jpg?h=eea800e5&itok=-Pb6vw3W)
Nils Stenvig has always had an interest in solving big problems. That desire drove his focus on electrical engineering in college and eventually led him to Oak Ridge National Laboratory, where today he’s using his expertise to better understand the world’s largest machine—the electrical grid.
![Starch granules](/sites/default/files/styles/list_page_thumbnail/public/2020-02/starchgranules.png?h=0c9ab501&itok=eLsE3JOx)
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample. This novel technique can confirm structural features in starch, a carbohydrate important in biofuel production.
![To understand the electronic structures of solids and predict their properties, ORNL’s Valentino Cooper uses density functional theory (DFT), which models how many electrons are in a region rather than where those electrons are. “DFT essentially presents one electron existing in a ‘sea foam’ and tells how dense that foam is,” he said. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/2019-P18109_0.jpg?h=aa35fa95&itok=t045nmpS)
Valentino (“Tino”) Cooper of the Department of Energy’s Oak Ridge National Laboratory uses theory, modeling and computation to improve fundamental understanding of advanced materials for next-generation energy and information 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.
![Ben Betzler, a reactor physics nuclear engineer at Oak Ridge National Laboratory.](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Betzler200_0.jpg?h=854a7be2&itok=zIgLNjU3)
As a reactor physics nuclear engineer, Ben Betzler leverages and develops computational methods to solve questions across nuclear energy—whether it’s finding the best design of a reactor core or repurposing an old tool for a new analysis.
![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.
![Peter Wang](/sites/default/files/styles/list_page_thumbnail/public/2020-01/2019-P18026_0.jpg?h=8f9cfe54&itok=_gPTJOy-)
Peter Wang is focused on robotics and automation at the Department of Energy’s Manufacturing Demonstration Facility at ORNL, working on high-profile projects such as the MedUSA, a large-scale hybrid additive manufacturing machine.