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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.
R. L. Perel, J.J. Wagschal
Nuclear Science and Engineering | Volume 94 | Number 4 | December 1986 | Pages 409-412
Technical Note | doi.org/10.13182/NSE94-409
Articles are hosted by Taylor and Francis Online.
Algorithms for computing various eigenvalues of the transport equation can be classified as direct and indirect. The latter computes the eigenvalue by an iterative search on another, generalized, eigenvalue. Direct computation is shown to be a special case of indirect computation. As a result of this analysis, a new “modified direct” algorithm was defined. The new algorithm also works in cases when the direct algorithm fails and it shows generally fast convergence. The proposed algorithm is applicable even to nonfissionable systems where the classical indirect approach via the k eigenvalue is possible only after an artificial “juggling” of cross sections.