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Media Contacts
![Anne Campbell](/sites/default/files/styles/list_page_thumbnail/public/2023-01/2022-P03479.jpg?h=8f9cfe54&itok=gtc6VRJ9)
Anne Campbell, an R&D associate in ORNL’s Materials Science and Technology Division since 2016, has been selected as an associate editor of the Journal of Nuclear Materials.
![Dongarra in 2019 with Oak Ridge National Laboratory's Summit supercomputer](/sites/default/files/styles/list_page_thumbnail/public/2022-03/I%29%20Dongarra_IBM_Summit_Superomputer.jpeg?h=4bf1c8f5&itok=9sM8m0Iz)
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
![Cations between layers of MXene](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Cations_holistic_study_0.png?h=de4bb2b8&itok=gX7Dgpbe)
A team led by Oak Ridge National Laboratory developed a novel, integrated approach to track energy-transporting ions within an ultra-thin material, which could unlock its energy storage potential leading toward faster charging, longer-lasting devices.
![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.
![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.
![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