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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.
J. D. Stewart
Nuclear Science and Engineering | Volume 25 | Number 3 | July 1966 | Pages 266-274
Technical Paper | doi.org/10.13182/NSE66-A17834
Articles are hosted by Taylor and Francis Online.
Two equally valid systems of definitions are given for the neutron diffusion parameters of a reactor lattice: cell-average and cell-surface. In defining the cell-average parameters, we imagine a macroscopic flux distribution to be fixed in space while the lattice is translated with respect to it. In defining the cell-surface parameters, we work in terms of fluxes and currents on the surface of a cell having the fissile material at its center. Parameters from both systems have been used before; but until recently we have lacked complete clarity of definition and the realization that there are two valid systems of parameters that should not be mixed in the one calculation. The early formula, L2 is equal to the summation over all values of i of fiLi2, is for a cell-average thermal diffusion area; L2 = (outleakage)/B2 (absorption), applied to a cell with the fissile material at the center, is a cell-surface diffusion area and is less than the summation over all values of i of fiLi2 by ≈(lattice spacing)2/24.