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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.
Makoto Tsuiki, Katsutada Aoki, Sadanori Yoshimura
Nuclear Science and Engineering | Volume 64 | Number 3 | November 1977 | Pages 724-732
Technical Paper | doi.org/10.13182/NSE77-A27101
Articles are hosted by Taylor and Francis Online.
A theoretical background for the convergence of void iterations in boiling water reactor (BWR) core calculations is considered. First, the process of each void-iteration step is interpreted as a transformation in a set of vectors representing the characteristics of the core, and the condition for convergence is derived in terms of the spectral radius of the transformation operator. Second, to visualize the convergence condition, the concept of a trajectory of channel power is introduced. Third, it is explained that the spectral radius of the transformation operator can be changed by changing the number of source iterations within each void iteration step. Based on this analysis, an optimum number of source iterations, when the Chebyshev polynomial acceleration technique is employed, is estimated for a typical BWR core. Numerical examples, presenting both divergent and convergent cases, show the validity of the present theoretical analysis.