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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Nora Nassiri-Mofakham, Mojtaba Kakaei
Nuclear Technology | Volume 210 | Number 11 | November 2024 | Pages 2151-2158
Research Article | doi.org/10.1080/00295450.2024.2311977
Articles are hosted by Taylor and Francis Online.
Waste from resource extraction industries contains uranium and thorium decay chain radionuclides. One important radiological impact of these wastes is the release of radon into the atmosphere. Therefore, the prediction/evaluation of radon flux and the effectiveness of different covers are the major elements in radiation protection, long-term safety aspects, and the modeling of radon release into the environment for a final assessment of radiological impacts and required remediation actions. A measurement system has been designed based on the transient-diffusion method to evaluate radon exhalation by the short-time accumulation technique. The validity of the laboratory model to quickly estimate the radon release from soils, the diffusion coefficient, and the effect of covers was investigated. From the results obtained from the experimental model, it was observed that after a 0.5-m(1-m) cover layer, the radon flux reduction factor increases from 1.3(2.1) for sand to about 2(3) for clay. The results show that the effectiveness of the cover layer studied is 3, which is similar to theoretical and experimental results in uranium tailings ponds.