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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. Hirota, M. Nakano, S. Iijima, K. Shirakata
Nuclear Science and Engineering | Volume 87 | Number 3 | July 1984 | Pages 252-261
Technical Paper | doi.org/10.13182/NSE84-A17781
Articles are hosted by Taylor and Francis Online.
An experimental study of the heterogeneous liquid-metal fast breeder reactor core has been made using FCA VII-3 assemblies of an axially heterogeneous configuration. The internal blankets inserted in these assemblies differed in composition, arrangement, and thickness. The analysis was carried out using the Japan Atomic Energy Research Institute Fast Set Version II and the diffusion code in R-Z geometry. The S4 calculation was made to evaluate the transport effects. Comparison between the calculated and experimental results reveals that the eigenvalue and the plutonium sample worth in the core are underestimated for the heterogeneous assembly, although they are well represented for the homogeneous assembly. The 238U capture rate is underestimated in the internal blanket relative to the core of the heterogeneous assembly. Further study is needed to solve the inconsistent prediction of the sodium-void worth observed between the heterogeneous and homogeneous assemblies.