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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.
Shoji Watanabe, Kojiro Nishina
Nuclear Science and Engineering | Volume 86 | Number 3 | March 1984 | Pages 283-296
Technical Paper | doi.org/10.13182/NSE84-A17557
Articles are hosted by Taylor and Francis Online.
A stability analysis using a one-group model is presented for a coupled-core system. Positive prompt feedback of a γpj form is assumed, where pj is the fractional power variation of core j. Prompt power variations over a range of a few milliseconds after a disturbance are analyzed. The analysis combines Liapunov's method, prompt jump approximation, and the eigenfunction expansion of coupling region response flux. The last is treated as a pseudo-delayed neutron precursor. An asymptotic stability region is found for pj. For an asymmetric flux variation over a system of two coupled cores, either pI or pII can slightly exceed, by virtue of the coupling effect, the critical value (β/γ − 1) of a single-core case. Such a stability region is increased by additional inclusion of the coupling region fundamental mode in the treatment. The coupling region contributes to stability through its delayed response and coupling. An optimum core separation distance for stability is found.