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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.
P.C. Kalambokas, A. F. Henry
Nuclear Science and Engineering | Volume 61 | Number 2 | October 1976 | Pages 181-194
Technical Paper | doi.org/10.13182/NSE76-A27351
Articles are hosted by Taylor and Francis Online.
A general relationship between two-group fluxes and normal currents on the surface of a core surrounded by a homogeneous reflector is derived. The relationship is an integral one derived directly from the group diffusion equations for the homogeneous reflector material and hence depending only on group parameters associated with the reflector material. Approximate homogeneous, algebraic boundary conditions relating group fluxes to group currents at the core-reflector interface are then derived, and these are applied to three sizes of pressurized water reactors (PWRs). Application to a large PWR at the interface between core shroud and reflector yields particularly excellent results for criticality and flux shapes in the core. The savings in computer running time over that required if the reflector is accounted for explicitly is ∼40%.