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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.
Tomasz Błeński
Nuclear Science and Engineering | Volume 87 | Number 1 | May 1984 | Pages 84-96
Technical Note | doi.org/10.13182/NSE84-A17449
Articles are hosted by Taylor and Francis Online.
The extrapolation distance in the cylindrical Milne problem (“black” cylinder immersed in a homogeneous, infinite, isotropically scattering and absorbing medium) is calculated in one- and two-group approximations. The method used consists of asymptotic expansions in 1/R and R (R being the radius of the cylinder) for large and small R, respectively, and of a variational method for R = O(1), R measured in mean-free-paths. The numerical results are given for two cases in the one-group (c = 0.90 and c = 0.95) and for two cases in the two-group approximation (both for κ = 1). The results show convergence of the methods and sufficient accuracy of the applied numerical procedures. This conclusion is confirmed by the comparison of the values of the extrapolation distance calculated by variational and asymptotic expansion formulas in regions of R, where both can be applied.