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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.
D. Akl, B. Laponche
Nuclear Science and Engineering | Volume 54 | Number 4 | August 1974 | Pages 387-394
Technical Paper | doi.org/10.13182/NSE74-A23433
Articles are hosted by Taylor and Francis Online.
A method is described for the analysis of experiments involving a central perturbation in a critical reactor. This method is particularly applicable to measurements dealing with reactivity changes or, as in some cases, with the variation of a fission chamber activation, in the vicinity of the perturbing sample (“local” signal). It is shown that the flux perturbation, induced by introducing the sample, can be calculated directly by solving a transport equation with a given source in the sample. This treatment, linked with the reduced reactor model, considerably shortens the required calculations. This method is applied to experiments performed in the ERMINE fast-thermal coupled critical facility at Fontenay-aux-Roses.