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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.
Koichi Sekimizu, Kazuo Monta
Nuclear Science and Engineering | Volume 54 | Number 4 | August 1974 | Pages 474-481
Technical Note | doi.org/10.13182/NSE74-A23445
Articles are hosted by Taylor and Francis Online.
A control-rod optimization problem is formulated for a one-dimensional multiregion reactor; that is, the end-of-life state surfaces are formulated in the N-dimensional bumup space, which is an N-dimensional Euclidean space, with its axis corresponding to the macroscopic fission cross section of each region. Solutions for a three-region reactor model are derived by using the principle of optimality. The investigation of these solutions reveals the existence of unique and nonunique solutions, depending on the relationship of end-of-life state surfaces. The relationship between two kinds of solution is discussed.