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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.
D. Rozon, A. Hébert, D. McNabb
Nuclear Science and Engineering | Volume 78 | Number 3 | July 1981 | Pages 211-226
Technical Paper | doi.org/10.13182/NSE81-A20299
Articles are hosted by Taylor and Francis Online.
The total reactor feed rate under equilibrium refueling is minimized by adjusting the exit irradiation of the fuel in specified burnup zones while obeying constraints on excess reactivity and on the power shape in the reactor. The gradients used in the numerical search are obtained via the explicit generalized perturbation theory. A computer code, called OPTEX, was written to solve this optimization problem, using a successive linearization method that requires a small number of flux calculations to converge. Tests on a CANDU-type lattice have shown that this approach can be used to simultaneously obtain an optimal control poison distribution.