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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.
J. Barclay Andrews, II, K. F. Hansen
Nuclear Science and Engineering | Volume 31 | Number 2 | February 1968 | Pages 304-313
Technical Paper | doi.org/10.13182/NSE68-A18242
Articles are hosted by Taylor and Francis Online.
A numerical method for the solution of the time-dependent multigroup diffusion equations is presented. The method has the property that it is numerically unconditionally stable for all changes in reactor properties and all integration time-step sizes. The method assumes that the neutron flux and precursor concentration can be expressed as an exponential function over each time step. As a result of this assumption, and the factoring of the matrix form of the multigroup equations, it is shown that for the case of a constant step change in the properties of the system the asymptotic numerical eigensolution is proportional to the asymptotic eigensolution of the differential equations. An analysis of the truncation error associated with the method is also presented. Finally, a number of numerical experiments are presented which illustrate the accuracy, speed, and general utility of the method.