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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.
Sadao Uchikawa, Hiroshi Motoda
Nuclear Science and Engineering | Volume 77 | Number 2 | February 1981 | Pages 137-145
Technical Paper | doi.org/10.13182/NSE81-A21347
Articles are hosted by Taylor and Francis Online.
A method, using in-core detector readings, is developed for estimating three-dimensional power distributions within boiling water reactors. The power distributions are obtained by a kind of synthesis technique which consists of two types of calculations, i.e., horizontal, two-dimensional whole core, and three-dimensional local core. The detector readings are used as internal boundary conditions. Power distributions obtained by this method compare satisfactorily with the exact solutions from whole-core calculations in test problems. The memory required to implement the technique is also acceptable to a process computer. Hence, the proposed method is suitable for on-line computer application.