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Media Contacts
![pulsed laser deposition setup](/sites/default/files/styles/list_page_thumbnail/public/2024-09/AI-revamps-materials-synthesis-modeling-thumbnail-720x540.jpg?h=a1f525db&itok=ooXPTUoc)
In a game-changing study, ORNL scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition.
![Daryl Yang standing on a bridge overlooking a pond covered in water lillies](/sites/default/files/styles/list_page_thumbnail/public/2024-09/Yang_2024-P17718.jpg?h=8f9cfe54&itok=1jWWe03W)
Daryl Yang is coupling his science and engineering expertise to devise new ways to measure significant changes going on in the Arctic, a region that’s warming nearly four times faster than other parts of the planet. The remote sensing technologies and modeling tools he develops and leverages for the Next-Generation Ecosystem Experiments in the Arctic project, or NGEE Arctic, help improve models of the ecosystem to better inform decision-making as the landscape changes.
After retiring from Y-12, Scott Abston joined the Isotope Science and Engineering Directorate to support isotope production and work with his former manager. He now leads a team maintaining critical equipment for medical and space applications. Abston finds fulfillment in mentoring his team and is pleased with his decision to continue working.
![forest under study in Panama](/sites/default/files/styles/list_page_thumbnail/public/2024-09/NGEE%20Tropics_Panama.png?h=d1cb525d&itok=1DwyfpPG)
Scientists using high-resolution aerial scans and computational modeling concluded that wildfires, storms and selective logging have become key drivers behind rainforest carbon emissions, outpacing clear-cutting practices.
![Researchers from ORNL and Western Michigan University prepare for a Chattanooga-based demonstration of a self-driving car using chip-enabled raised pavement markers for navigation.](/sites/default/files/styles/list_page_thumbnail/public/2024-09/Marker.photo_.jpg?h=f3defca3&itok=gK2p5wVF)
ORNL has partnered with Western Michigan University to advance intelligent road infrastructure through the development of new chip-enabled raised pavement markers. These innovative markers transmit lane-keeping information to passing vehicles, enhancing safety and enabling smarter driving in all weather conditions.
![Bryan Maldonado](/sites/default/files/styles/list_page_thumbnail/public/2024-09/bryan.jpg?h=e7aa0d25&itok=fBI1yVyu)
As a mechanical engineer in building envelope materials research at ORNL, Bryan Maldonado sees opportunities to apply his scientific expertise virtually everywhere he goes, from coast to coast. As an expert in understanding how complex systems operate, he’s using machine learning methods to control the process and ultimately optimize performance.
![Ayana Ghosh](/sites/default/files/styles/list_page_thumbnail/public/2024-09/01E891D4-8D54-45F7-8477-2A550C6C3222_1_201_a.jpeg?h=4a1762dc&itok=bEndgT52)
A research scientist with the Department of Energy’s Oak Ridge National Laboratory, Ayana Ghosh was named the 2024 Early Discovery Award winner by the American Ceramic Society. The award recognizes an early career member of the organization who has contributed to basic science in the field of glass and ceramics.
![The Frontier supercomputer simulated magnetic responses inside calcium-48, depicted by red and blue spheres. Insights into the nucleus’s fundamental forces could shed light on supernova dynamics.](/sites/default/files/styles/list_page_thumbnail/public/2024-09/Nova%20Nucleus%20v2.jpg?h=2d44e782&itok=YlbsTzRG)
Nuclear physicists at the Department of Energy’s Oak Ridge National Laboratory recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
![Joshua New](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2017-P04896%20%281%29.jpg?h=b6236d98&itok=QV3DNb3K)
ORNL’s Joshua New was named the 2024 Researcher of the Year by R&D World magazine as part of its R&D 100 Professional Award winners.
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.