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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.
L. B. Miller, G. H. Miley
Nuclear Science and Engineering | Volume 40 | Number 3 | June 1970 | Pages 438-448
Technical Paper | doi.org/10.13182/NSE70-A20195
Articles are hosted by Taylor and Francis Online.
A Monte Carlo method for the analysis of the Doppler effect has been developed which employs special perturbation techniques to compute effects due to changes in both the temperature and the diameter of fuel rods. These techniques facilitate the application of Monte Carlo to this type of problem and make possible the elimination of approximations inherent in earlier analytic and numerical methods. Numerical results obtained by this method are in good agreement with previously reported measurements on ZPR-III. The method has been applied to the study of the effect of fuel diameter on the Doppler coefficient in a typical fast reactor. Reducing the fuel diameter in a sodium-cooled uranium-carbide reactor from 0.30 to 0.15 cm was found to increase the Doppler coefficient 13%.