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Media Contacts
![Man in blue suit and blue and white button down with brown air and brown facial hair smiles for a photo with a green and teal background. Plus a quote](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Picture7.png?h=f23f0227&itok=QhphdCXk)
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.
![Redish orange sample of material, round in size and small (taking up only a quarter of the image). There is a dark grey floor and blue light background](/sites/default/files/styles/list_page_thumbnail/public/2024-06/Picture1.jpg?h=a367a0f1&itok=atewqjdE)
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.
![Man in a blue polo is standing over blue water](/sites/default/files/styles/list_page_thumbnail/public/2024-06/Kyle%20Reed%20reactor%202.jpg?h=3bb6718d&itok=c9GtoP4j)
ORNL researchers completed successful testing of a gallium nitride transistor for use in more accurate sensors operating near the core of a nuclear reactor. This is an important technical advance particularly for monitoring new, compact.
![People in a large convention room networking before a presentation](/sites/default/files/styles/list_page_thumbnail/public/2024-05/20240529_125451.jpg?h=19f14c2c&itok=SP4cISML)
Vanderbilt University and ORNL announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.
![Man in a beard holding tweezers, showing a bead if space glass closer to the screen.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/SpaceGlass_pp02.jpg?h=e5aec6c8&itok=xSv_KLxF)
Researchers set a new benchmark for future experiments making materials in space rather than for space. They discovered that many kinds of glass have similar atomic structure and arrangements and can successfully be made in space. Scientists from nine institutions in government, academia and industry participated in this 5-year study.
![Caption: Participants gather for a group photo after discussing securing AI systems for critical national security data and applications. Photo by Liz Neunsinger/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Picture1.jpg?h=1758acef&itok=hu9V4GaE)
Researchers at the Department of Energy’s Oak Ridge National Laboratory met recently at an AI Summit to better understand threats surrounding artificial intelligence. The event was part of ORNL’s mission to shape the future of safe and secure AI systems charged with our nation’s most precious data.
![This dataset, showing electricity outages from 2014-22 in the 50 U.S. states, Washington D.C. and Puerto Rico, details outages at 15-minute intervals for up to 92% of customers for the eight-year period.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Mapper_Radar_20220929_1000.jpg?h=252b3bba&itok=L96QFTQW)
ORNL researchers have produced the most comprehensive power outage dataset ever compiled for the United States. This dataset, showing electricity outages from 2014-22 in the 50 U.S. states, Washington D.C. and Puerto Rico, details outages at 15-minute intervals for up to 92% of customers for the eight-year period.
![Mohamad Zineddin](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Dr%20Z.png?h=2a35d14f&itok=2ZMLdTMr)
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
![Joon-Seok Kim Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/joon-seok.jpg?h=d9b3a08b&itok=qiPgBrWQ)
Researchers at ORNL are using a machine-learning model to answer ‘what if’ questions stemming from major events that impact large numbers of people. By simulating an event, such as extreme weather, researchers can see how people might respond to adverse situations, and those outcomes can be used to improve emergency planning.
![Quietly making noise: Measuring differential privacy could balance meaningful analytics and identity protection](/sites/default/files/styles/list_page_thumbnail/public/2024-04/AdobeStock_599537692.jpeg?h=8059516b&itok=oDcA1WvL)
To balance personal safety and research innovation, researchers at ORNL are employing a mathematical technique known as differential privacy to provide data privacy guarantees.