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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.
Gerald P. Calame
Nuclear Science and Engineering | Volume 8 | Number 5 | November 1960 | Pages 400-404
Technical Paper | doi.org/10.13182/NSE60-A25820
Articles are hosted by Taylor and Francis Online.
The conventional calculation of power peaking near water gaps assumes an abrupt change in the neutron spectrum at a gap-core interface. The assumption can be seriously in error, and can result in discrepancies of 50% between calculated and experimental peaking values. In this paper, a position-dependent spectrum is obtained by the use of diffusion theory which, when used in peaking calculations, reduces the discrepancy between theory and experiment to the order of 5–10% or less. Recipes based on the position-dependent spectrum are obtained for the specification of position-dependent cross sections which may be used in standard diffusion theory codes. The use of these cross sections in the codes results in an estimate of power peaking factors which represents a considerable improvement over the results given by conventional calculations.