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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.
G. Flamenbaum, R. de Wouters, A. Le Bourhis, T. Newton, G. Vambenepe
Nuclear Science and Engineering | Volume 106 | Number 1 | September 1990 | Pages 11-17
Technical Paper | doi.org/10.13182/NSE90-A23752
Articles are hosted by Taylor and Francis Online.
The loading of the Superphénix core took place between July 20 and October 3, 1985. The loading of the first core, involving 5.7 tonnes of plutonium, employed a new strategy in the pattern of fuel/dummy assembly replacement moves, known as the checkerboard pattern. This pattern proved highly satisfactory; significant counting rates were obtained on the low-power chambers early in the loading; overall loading time was reduced; and the interpretation of measurements was facilitated., The results were in good agreement with precalculated values, which were reconfirmed by a further, more detailed interpretation that took into account the actual conditions at the time of the reload. The reactivity differences between calculated and measured values for the first critical core loading (containing 33 dummy assemblies) and the fully loaded power core were –0.12 and –0.02% A k/k, respectively. This agreement between experimental and calculated values demonstrates the satisfactory performance of the data sets and methods used in the analysis.