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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.
K. L. Peddicord, T. L. George, T. C. Kennedy
Nuclear Science and Engineering | Volume 86 | Number 3 | March 1984 | Pages 253-266
Technical Paper | doi.org/10.13182/NSE84-A17554
Articles are hosted by Taylor and Francis Online.
The major components of a numerical model (SPECKLE-III) for the irradiation behavior of mixed-carbide Sphere-Pac fuel are described. Based on user-supplied power and outer cladding temperature history, radial profiles for the pin temperature, restructuring, fission gas behavior, and stress distribution are calculated at several axial locations as a function of irradiation time. Finite difference and finite element methods are used to solve the quasi-steady, axisymmetric governing equations. Axial slip at the fuel cladding interface is also modeled. The effects of temperature and restructuring on the fuel thermal and mechanical properties are included. Representative results are presented for a Sphere-Pac fuel irradiation experiment.