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Media Contacts
![Beach to show impact of a hurricane](/sites/default/files/styles/list_page_thumbnail/public/2024-08/AdobeStock_3028575%201.jpeg?h=2067f444&itok=Ri7rXNQ-)
A study found that beaches with manmade fortifications recover more slowly from hurricanes than natural beaches, losing more sand and vegetation. The researchers used satellite images and light detection and ranging data, or LIDAR, to measure elevation changes and vegetation coverage. Changes in elevation showed how much sand was depleted during the storm and how much sand returned throughout the following year.
![Environmentally friendly amino acids](/sites/default/files/styles/list_page_thumbnail/public/2024-08/story%20tip.png?h=0412f367&itok=YHf2LoPQ)
Researchers at ORNL have demonstrated that small molecular tweaks to surfaces can improve absorption technology for direct air capture of carbon dioxide. The team added a charged polymer layer to an amino acid solution, and then, through spectroscopy and simulation, found that the charged layer can hold amino acids at its surface.
![Benjamin Manard](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2021-P08328.jpg?h=8f0b2d98&itok=ZKVil-VE)
Benjamin Manard, an analytical chemist in the Chemical Sciences Division of the Department of Energy’s Oak Ridge National Laboratory, will receive the 2024 Lester W. Strock Award from the Society of Applied Spectroscopy.
![Prasanna Balaprakash](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2023-P02525.jpg?h=502e75fa&itok=4dkxoqpK)
Prasanna Balaprakash, director of AI programs at the Department of Energy’s Oak Ridge National Laboratory, has been appointed to Tennessee’s Artificial Intelligence Advisory Council.
![Dmytro Bykov, left, and Hector Corzo participate in a value proposition development exercise as part Energy I-Corps](/sites/default/files/styles/list_page_thumbnail/public/2024-07/ICorps18a.jpg?h=92704f59&itok=58Y6bvrB)
Two ORNL teams recently completed Cohort 18 of Energy I-Corps, an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways.
![This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P08173.jpg?h=c6980913&itok=Ed354_C-)
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
![This photo is of four men standing in front of a wall of monitors that are showing a tree looking image.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P18264.jpg?h=c6980913&itok=5vhjgeck)
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.
![Arial view of the Atchafalaya Basin](/sites/default/files/styles/list_page_thumbnail/public/2024-07/CoastalEco_atchafalayadelta_pho_2010113.jpg?h=34e43602&itok=_bt6Z5Va)
In the wet, muddy places where America’s rivers and lands meet the sea, scientists from the Department of Energy’s Oak Ridge National Laboratory are unearthing clues to better understand how these vital landscapes are evolving under climate change.
![Digital image of molecules would look like. There are 10 clusters of these shapes in grey, red and blue with a teal blue background](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Picture6.jpg?h=7e1075cf&itok=YSLnbbso)
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.