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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. T. Yeh, T. Tamura
Nuclear Science and Engineering | Volume 82 | Number 2 | October 1982 | Pages 206-219
Technical Paper | doi.org/10.13182/NSE82-A28702
Articles are hosted by Taylor and Francis Online.
Geohydrochemical factors that affect the transport of low-level wastes in saturated-unsaturated porous media are described. Depending on the availability of those geohydrochemical parameters and the detail of information desired, three levels of analyses can be undertaken. Two examples used to illustrate these three levels of analyses are the seepage pond problem and the shallow trench burial problem. The former example indicates that the lower level of resolution gives the more conservative estimate of the breakthrough time for the contaminant. The latter example exemplifies the cases that simple levels of resolution are not adequate nor possible because the flow variables and parameters cannot be determined with rational assumptions. The level 1 model can best be used for screening purposes while level 2 analysis can be employed to rank the alternative sites. Level 3 models should be used for detailed studies of the impact of the chosen site or for predictive assessment of operational sites and decomission scenarios.