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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.
E. Greenspan, Y. Karni
Nuclear Science and Engineering | Volume 69 | Number 2 | February 1979 | Pages 169-190
Technical Paper | doi.org/10.13182/NSE79-A20609
Articles are hosted by Taylor and Francis Online.
Energy-dependent fine-structure effects (FSEs) on the reactivity associated with perturbations in the density and temperature of resonance materials are investigated using a simple single-resonance model Upper and lower bounds to these spectral effects are derived, and parametric studies are performed as a function of the background cross section and resonance structure of the unperturbed assembly and of the type and relative magnitude of the perturbation. It is found that spectral FSEs can be significant even for infinitesimal density or temperature perturbations. The capability of different perturbation theory formulations to account for these FSEs is investigated. The connection between the spectral FSEs and the disagreement of the calculated to the experimentally determined material and Doppler reactivity worth of fuel isotopes in fast critical experiments is also discussed.