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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.
Keisho Shirakata, Toshihisa Yamamoto, Toshikazu Takeda, Hironobu Unesaki
Nuclear Science and Engineering | Volume 98 | Number 2 | February 1988 | Pages 118-127
Technical Paper | doi.org/10.13182/NSE88-A28491
Articles are hosted by Taylor and Francis Online.
Cell homogenization methods for the neutronics analysis of the blanket region of a plate-type liquid-metal fast breeder reactor critical assembly are investigated, and an improved method is proposed, which calculates cell-averaged cross sections so as to preserve groupwise reaction rates in each cell in a multidrawer cell model. The present homogenization method has been applied to the analysis of the heterogeneous fast critical assembly ZPPR-13. It was found that the keff difference between homogeneous and heterogeneous fast critical assemblies was reduced from 0.4 to 0.2% Δk/k by using the present method.