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Media Contacts
![Electro-Active Tech license signing ceremony](/sites/default/files/styles/list_page_thumbnail/public/2019-08/ORNL-E-A-1_1.jpg?h=8f9cfe54&itok=DHR3SuUX)
Electro-Active Technologies, Inc., of Knoxville, Tenn., has exclusively licensed two biorefinery technologies invented and patented by the startup’s co-founders while working at the Department of Energy’s Oak Ridge National Laboratory. The technologies work as a system that converts organic waste into renewable hydrogen gas for use as a biofuel.
![Galactic wind simulation](/sites/default/files/styles/list_page_thumbnail/public/2019-07/Robertson%5B2%5D.png?h=319b3f54&itok=jK6lUXEt)
Using the Titan supercomputer at Oak Ridge National Laboratory, a team of astrophysicists created a set of galactic wind simulations of the highest resolution ever performed. The simulations will allow researchers to gather and interpret more accurate, detailed data that elucidates how galactic winds affect the formation and evolution of galaxies.
![Stephanie Galanie](/sites/default/files/styles/list_page_thumbnail/public/2019-07/2019-P06356.jpg?h=036a71b7&itok=YXoJCNle)
Early career scientist Stephanie Galanie has applied her expertise in synthetic biology to a number of challenges in academia and private industry. She’s now bringing her skills in high-throughput bio- and analytical chemistry to accelerate research on feedstock crops as a Liane B. Russell Fellow at Oak Ridge National Laboratory.
A team of scientists led by Oak Ridge National Laboratory have discovered the specific gene that controls an important symbiotic relationship between plants and soil fungi, and successfully facilitated the symbiosis in a plant that
![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.
![Alex Johs at ORNL's Spallation Neutron Source](/sites/default/files/styles/list_page_thumbnail/public/2019-06/2019-p01807.jpg?h=f8570409&itok=KBUOueeI)
Sometimes solutions to the biggest problems can be found in the smallest details. The work of biochemist Alex Johs at Oak Ridge National Laboratory bears this out, as he focuses on understanding protein structures and molecular interactions to resolve complex global problems like the spread of mercury pollution in waterways and the food supply.
![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
![U.S. Department of Energy and Cray to Deliver Record-Setting Frontier Supercomputer at ORNL](/sites/default/files/styles/list_page_thumbnail/public/2019-05/Frontier-System-large_0.png?h=bd7af8db&itok=O_aGQSFB)
OAK RIDGE, Tenn., May 7, 2019—The U.S. Department of Energy today announced a contract with Cray Inc. to build the Frontier supercomputer at Oak Ridge National Laboratory, which is anticipated to debut in 2021 as the world’s most powerful computer with a performance of greater than 1.5 exaflops.
![Molecular dynamics simulations of the Fs-peptide revealed the presence of at least eight distinct intermediate stages during the process of protein folding. The image depicts a fully folded helix (1), various transitional forms (2–8), and one misfolded state (9). By studying these protein folding pathways, scientists hope to identify underlying factors that affect human health.](/sites/default/files/styles/list_page_thumbnail/public/2019-03/Slide1_0.png?h=c855054e&itok=aNbgxXsc)
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.