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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.
Karl H. Puechl
Nuclear Science and Engineering | Volume 11 | Number 1 | September 1961 | Pages 61-64
Technical Paper | doi.org/10.13182/NSE61-A25985
Articles are hosted by Taylor and Francis Online.
This is a continuation of a previous article (1) wherein analysis of experimental data yielded a new procedure for the calculation of k∞/ϵ. In this present paper corresponding values derived from conventional theoretical techniques are analyzed in a similar fashion. The results as presented amplify the discrepancy between cadmium ratio measurements and conventional resonance escape theory, thereby yielding a good illustration of the need for further theoretical as well as experimental work in this area. A suggestion for improving the accuracy of cadmium ratio measurements is also presented. It is shown that the previous general development can be utilized with slight modification to yield values for the resonance escape probability which are in essential agreement with values calculated by conventional techniques.