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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.
Masaoki Komata
Nuclear Science and Engineering | Volume 64 | Number 4 | December 1977 | Pages 811-822
Technical Paper | doi.org/10.13182/NSE77-A14496
Articles are hosted by Taylor and Francis Online.
A generalized perturbation theory is established for the surface perturbation problem in which a boundary parameter or a boundary shape is disturbed. Mainly handled is a multidimensional Sturm-Liouville-type equation and finally discussed is a multigroup diffusion model. The theory is based on Green's theorem and provides perturbation formulas that have simple forms of surface integrals and are explicitly related to a deviation of boundary parameters. The formulas are connected with a quantity within a volume through the surface Green's function. The effects of surface perturbation on a solution (a neutron flux distribution) of the equation itself, on a linear functional of direct solution, and on a ratio of linear functional of direct solution are shown. The theory is also applied to a ratio of linear functional of adjoint solution and to a ratio of bilinear functional of direct and adjoint solutions. Perturbation formulas are also derived from Pomraning's variational principle, and it is shown that the formulas are identical with those based on Green's theorem. The Lagrange multipliers used in the variational principle are explained as integrated Green's functions.