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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.
Tsutomu Hoshino, Jiro Wakabayashi, Shigenori Hayashi
Nuclear Science and Engineering | Volume 23 | Number 2 | October 1965 | Pages 170-182
Technical Paper | doi.org/10.13182/NSE65-A28142
Articles are hosted by Taylor and Francis Online.
An expression different from the conventional modal expansion about space-dependent linear system kinetics is proposed. The solution is expressed in the form of a Laplace-transformed source transfer function. The Taylor expansion of the function in ‘s’ (the variable in the transformed domain) is obtained by solving the related stationary equations. The series is approximately continued to the simple form of the transfer function such as the first-order lag or the transport lag expression. In this method, it is not necessary to solve the eigenvalue problem directly. This solution contains the contribution from the higher modes and gives a practical approximation in a simple form, even if the response includes much higher modes. A numerical example is shown. This method is also applicable to general linear distributed constant systems. Some applications to coupled reactor theory and to thermalization kinetics are mentioned.