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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.
Floyd E. Dunn, Martin Becker
Nuclear Science and Engineering | Volume 47 | Number 1 | January 1972 | Pages 83-103
Technical paper | doi.org/10.13182/NSE72-A28422
Articles are hosted by Taylor and Francis Online.
A model is developed for the study of fast reactor flux and importance spectra. The model is based on slowing down theories of the continuous slowing down type with suitable modifications introduced where such theories are deficient. The ability to obtain analytic solution for the flux and importance spectra depends on the ability to fit basic cross-section ratios (such as the moderating ratio) to simple analytic forms. The cross-section fits are used to obtain an expression for the slowing down density, which generally is a smooth function. Detailed cross sections, however, are used to relate flux and importance to slowing down density. The model yields good agreement with multigroup spectra on both broad group and ultrafine group bases and yields quite accurate values for integral parameters (e.g., criticality and reaction rates). In addition, it is found possible to obtain a good correlation of cross-section fit parameters with composition.