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Media Contacts
![Catherine Schuman during Hour of Code](/sites/default/files/styles/list_page_thumbnail/public/2019-12/IMG_0136_0.jpg?h=71976bb4&itok=56CtnbAH)
ORNL computer scientist Catherine Schuman returned to her alma mater, Harriman High School, to lead Hour of Code activities and talk to students about her job as a researcher.
![Background image represents the cobalt oxide structure Goodenough demonstrated could produce four volts of electricity with intercalated lithium ions. This early research led to energy storage and performance advances in myriad electronic applications. Credit: Jill Hemman/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2019-10/19-g01251_nobel.png?h=e4fbc3eb&itok=R0uVyKRm)
Two of the researchers who share the Nobel Prize in Chemistry announced Wednesday—John B. Goodenough of the University of Texas at Austin and M. Stanley Whittingham of Binghamton University in New York—have research ties to ORNL.
![quantum mechanics to advance a range of technologies including computing, fiber optics and network communication](/sites/default/files/styles/list_page_thumbnail/public/2019-09/2017-P08412_0.jpg?h=b6236d98&itok=ecQNon31)
Three researchers at Oak Ridge National Laboratory will lead or participate in collaborative research projects aimed at harnessing the power of quantum mechanics to advance a range of technologies including computing, fiber optics and network
![Project bridges compute staff, resources at ORNL and VA health data to speed suicide risk screening for US veterans. Image Credit: Carlos Jones, ORNL](/sites/default/files/styles/list_page_thumbnail/public/2019-08/VA_REACHVET1%5B6%5D_0.jpg?h=173ee000&itok=-eA5t15j)
In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.
![Motion sensing technology](/sites/default/files/styles/list_page_thumbnail/public/2019-07/Coin-spin-ORNL.jpg?h=dbfb0746&itok=LtrLTeNM)
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
![Heat impact map](/sites/default/files/styles/list_page_thumbnail/public/2019-07/Winter_HDD_Change_ORNL.gif?h=e87b941e&itok=8t83D_u_)
A detailed study by Oak Ridge National Laboratory estimated how much more—or less—energy United States residents might consume by 2050 relative to predicted shifts in seasonal weather patterns
![Quantum—Widening the net](/sites/default/files/styles/list_page_thumbnail/public/2019-06/2018-P04780_0.jpg?h=c6980913&itok=IRxCZtUy)
Scientists at Oak Ridge National Laboratory studying quantum communications have discovered a more practical way to share secret messages among three parties, which could ultimately lead to better cybersecurity for the electric grid
![Computing—Building a brain](/sites/default/files/styles/list_page_thumbnail/public/2019-06/CADES2019-P00182_0.jpg?h=c6980913&itok=eyahnQde)
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
![Quantum—Squeezed light cuts noise](/sites/default/files/styles/list_page_thumbnail/public/2019-06/Quantum-Squeezed_light_cuts_noise_0.jpg?h=557ecedc&itok=dbeUQ4mY)
Oak Ridge National Laboratory physicists studying quantum sensing, which could impact a wide range of potential applications from airport security scanning to gravitational wave measurements, have outlined in ACS Photonics the dramatic advances in the field.
![Computing—Routing out the bugs](/sites/default/files/styles/list_page_thumbnail/public/2019-11/VA-HealthIT-2019-P04263.jpg?h=784bd909&itok=uwv091uK)
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool