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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.
J. A. Koski, J. B. Whitley
Fusion Science and Technology | Volume 10 | Number 3 | November 1986 | Pages 789-794
Impurity Control | Proceedings of the Seveth Topical Meeting on the Technology of Fusion Energy (Reno, Nevada, June 15–19, 1986) | doi.org/10.13182/FST86-A24836
Articles are hosted by Taylor and Francis Online.
The heat flux and fluid flow conditions for a water cooled limiter tube are simulated with an electron beam heating apparatus, and the results are compared to empirical models based on existing heat transfer correlations. For the conditions of highly subcooled flow boiling in a horizontal tube subjected to a heat flux from only one side, two principal observations were noted. First, existing heat flux correlations, which were developed for use with uniform circumferential heat flux distributions, can be used to provide a good first approximation of the one-sided heat removal for the range of experimental conditions covered. Second, the peak heat flux at the tube surface predicts the onset of critical heat flux (burnout) better than the average heat flux.