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Conference Spotlight
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. S. Rosenberg, C. K. Youngdahl
Nuclear Science and Engineering | Volume 13 | Number 2 | June 1962 | Pages 91-102
Technical Paper | doi.org/10.13182/NSE62-A26138
Articles are hosted by Taylor and Francis Online.
The response of flat, thin, parallel, metal fuel elements to the loads imposed by the flow of coolant through reactor core passages is examined for the existence of plate divergence at velocities above a “critical” value. It is shown that small modifications of the simplifying assumptions used in the analysis produce a great difference in the conclusions regarding the possibility of divergence and the interpretation of the “critical” coolant velocity. The basic assumptions are the same as those of Miller (1), except that fluid inertia effects are included in the analysis of periodically supported plates. Although agreement exists between the results of the dynamic model of Section I and that of “neutral equilibrium” used by Miller, the additional consideration of fluid inertia leads to a different interpretation of “critical” velocity for periodically supported plates treated in Section II.