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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.
Chang Hyo Kim, Jin Young Cho, Han Gyu Joo
Nuclear Science and Engineering | Volume 118 | Number 2 | October 1994 | Pages 108-121
Technical Paper | doi.org/10.13182/NSE94-A28540
Articles are hosted by Taylor and Francis Online.
Three-dimensional (3D) correction factors designed to take into account the heterogeneity effects of the missing dimension in two-dimensional (2D) reactor computation are rigorously defined. An approximate method for computing the 3D correction factors is proposed by introducing simplified model cores. For verification of the proposed method, 2D and 3D ROCS code computations are performed for the first three cycles of the Yonggwang Unit 2 pressurized water reactor. The utility of the proposed method is then discussed by demonstrating that the 2D ROCS results with the use of the approximate 3D correction factors agree well with the 3D ROCS results in the letdown behavior of the critical soluble boron concentration and the core power distribution.