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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.
G. Bitelli, R. Martinelli, F. V. Orestano, E. Santandrea
Nuclear Science and Engineering | Volume 28 | Number 2 | May 1967 | Pages 270-276
Technical Paper | doi.org/10.13182/NSE67-A17477
Articles are hosted by Taylor and Francis Online.
The results of critical experiments, performed with organic-moderated platetype assemblies containing uranium enriched to 90% in 235U, in the zero-power reactor ROSPO, are reported. Several cores, differing in critical radius (19.5 to 47.5 cm) and in the ratio of uranium-to-stainless-steel plate number, have been investigated. The comparison with the reactivities calculated by a standard two-group calculation procedure shows an overestimate of the eff's (up to 1.95% for the smallest critical core) with a systematic dependence on the core radius. A satisfactory agreement is found for large-size cores (R ≥ 40 cm). It is shown that simple calculational improvements, such as a four-group evaluation of the nuclear constants, and a more detailed treatment of core-radial reflector interface zone, lead to a homogeneously good agreement (within 0.25% ) over the whole range of core dimensions.