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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.
M. Mazumdar
Nuclear Science and Engineering | Volume 47 | Number 2 | February 1972 | Pages 187-194
Technical Paper | doi.org/10.13182/NSE72-A22395
Articles are hosted by Taylor and Francis Online.
In the thermal hydraulic design of nuclear reactor cores, it is of interest to know the probability for 0, 1, 2, . . . , D hot channels and/or cladding and fuel hot spots [i.e., channels (spots) in the core at which temperature limits are exceeded]. A previous paper considered this problem and provided a technique, referred to as the method of correlated temperatures, for obtaining the distribution of the number of hot channels. This method is partly analytical and partly Monte Carlo. In the present paper a special case, that of zero hot channels, is considered and it is shown that by application of the theory of extremes numerical results can still be obtained without the use of Monte Carlo computations proposed earlier. A hot channel factor analysis is carried out using the proposed method on a simplified hypothetical LMFBR-type core and the results are compared with those obtained (a) from the method of correlated temperatures and (b) Amendola’s method. The method based on extreme value theory compares very favorably with the more general method of correlated temperatures.