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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.
Aaron J. Friedland
Nuclear Science and Engineering | Volume 50 | Number 1 | January 1973 | Pages 85-87
Technical Note | doi.org/10.13182/NSE73-A22595
Articles are hosted by Taylor and Francis Online.
Three-region restructured fuel, with given thermal characteristics, may be represented by an effective conductivity integral function Y(T). For any fuel surface temperature Ts and linear heat generation rate q, the maximum fuel temperature Tv is found from the relation Yv - Ys = q. Region radii and molten fuel fraction appear in the groups qR2/R and qF as functions of Yv - Ye.