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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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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.
R. P. Matsen
Nuclear Technology | Volume 15 | Number 3 | September 1972 | Pages 343-358
Technical Paper | Reactor | doi.org/10.13182/NT72-A16032
Articles are hosted by Taylor and Francis Online.
A technique for obtaining cross-section information from experimental isotopic concentration data has been applied to the data from Yankee Core I. The technique involves making a least-squares fit of appropriate transmutation equations to the data. The analysis covers two transmutation chains. One is the plutonium chain which begins with 238U and ends with americium and curium. The other is a rarer isotope chain which begins with 235U or 238U and ends with neptunium and plutonium. Values were obtained for 12 ratios determined by the leastsquares analysis (e.g., 25 = 0.2569 ± 0.0023 and 49 = 0.622 ± 0.082). In order to obtain information about the less abundant transuranium isotopes, 15 Yankee Core I samples were analyzed for their isotopic content. The ratios of effective cross sections were also deduced from the data.