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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. H. Lister
Nuclear Science and Engineering | Volume 59 | Number 4 | April 1976 | Pages 406-426
Technical Paper | doi.org/10.13182/NSE76-7
Articles are hosted by Taylor and Francis Online.
A mathematical model to describe the contamination of steel surfaces by 60Co in high-temperature water is developed. The model assumes that 60Co is incorporated into the growing oxide film on the steel, so that the contamination rate is governed by corrosion kinetics. Release to inactive coolant is controlled by solid-state diffusion and is consequently very slow. Diffusion processes for both release and activation are modeled in terms of a diffusion parameter that is characteristic of the surface oxide. The model is tested with data from recirculating and once-through loops, and good fits are obtained if either parabolic or logarithmic corrosion kinetics are assumed, although logarithmic kinetics are somewhat better.