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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. Devooght, E. H. Mund, B. Arien, A. Siebertz
Nuclear Science and Engineering | Volume 88 | Number 2 | October 1984 | Pages 191-199
Technical Note | doi.org/10.13182/NSE84-A28403
Articles are hosted by Taylor and Francis Online.
The numerical results that have been obtained for various reactor characteristics using the generalized quasi-static approximation for the study of fast reactor transients are analyzed. This approximation leads to a set of coupled nonlinear mixed boundary initial value problems for “amplitude” and “shape” neutron fluxes that are solved with a Newton-successive over-relaxation algorithm. Some details are given on the time integration module. Comparisons are established with the results obtained by other codes.