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Conference Spotlight
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.
Yasushi Nauchi, Tetsuo Matsumura
Nuclear Science and Engineering | Volume 196 | Number 11 | November 2022 | Pages 1306-1322
Technical Paper | doi.org/10.1080/00295639.2022.2092355
Articles are hosted by Taylor and Francis Online.
The γ-mode eigenvalue problem is investigated to utilize an exponential experiment to validate nuclear data for reactor core analyses. The perturbation of the spatial decay constant γ by the bias of nuclear data is analyzed with the adjoint flux of the γ-mode eigenvalue problem. The adjoint flux at a phase-space position is found to be proportional to the amplitude of the neutron flux on a plane vertically distant from a source placed at the position. The implication of the adjoint flux is numerically demonstrated based on the diffusion theory. The perturbation theory relating the bias of the fission neutron emission to the perturbation of γ is preliminarily justified in the manner of the continuous energy Monte Carlo.