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ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.
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Researchers at ORNL recently demonstrated an automated drone-inspection technology at EPB of Chattanooga that will allow utilities to more quickly and easily check remote power lines for malfunctions, catching problems before outages occur.

Researchers at ORNL are using satellite images of homes under construction to address gaps in census data, especially in areas like Sub-Saharan Africa. By analyzing these images, they estimate dwelling sizes and population densities where traditional data is sparse. This method improves population estimates and supports national security by enhancing emergency response capabilities.

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.

Benjamin Manard, an analytical chemist in the Chemical Sciences Division of the Department of Energy’s 91°µÍø, will receive the 2024 Lester W. Strock Award from the Society of Applied Spectroscopy.

Ten future U.S. Army officers recently visited ORNL to learn about the legacy of nuclear science. As students of the Nuclear Science and Engineering Research Center, or NSERC, with the Defense Threat Reduction Agency, or DTRA, they stopped in East Tennessee as part of a larger tour across nuclear facilities supporting the military. In Oak Ridge, they visited ORNL to gain an appreciation of the history of the Manhattan Project and how research at a national lab contributes new materials and electronics for the nuclear industry.
Joe Tuccillo, a human geography research scientist, leads the UrbanPop project that uses census data to create synthetic populations. Using a Python software suite called Likeness on ORNL’s high-performance computers, Tuccillo’s team generates a population with individual ‘agents’ designed to represent people that interact with other agents, facilities and services in a simulated neighborhood.

ORNL hosted the Mid-South Regional Chapter of the American Society for Photogrammetry and Remote Sensing, or ASPRS. Participants spanning government, academia and industry engaged in talks, poster sessions, events and workshops to further scientific discovery in a field devoted to using pictures to understand changes to the earth’s inhabitants and landscape.

A newly established internship between ORNL and Maryville College is bringing cybersecurity careers to a local liberal arts college. The internship was established by a Maryville College alumni who recently joined ORNL.

As a data scientist, Daniel Adams uses storytelling to parse through a large amount of information to determine which elements are most important, paring down the data to result in the most efficient and accurate data set possible.

Despite strong regulations and robust international safeguards, authorities routinely interdict nuclear materials outside of regulatory control. Researchers at ORNL are exploring a new method that would give authorities the ability to analyze intercepted nuclear material and determine where it originated.