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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.
F. L. Fillmore
Nuclear Science and Engineering | Volume 1 | Number 5 | October 1956 | Pages 355-358
Technical Paper | doi.org/10.13182/NSE56-A28773
Articles are hosted by Taylor and Francis Online.
The calculation of the resonance escape probability in a lattice by means of a diffusion theory model requires a knowledge of the logarithmic energy width, ln E1/E2, of the resonance absorption region. This quantity is evaluated by fitting the results of a diffusion theory analysis which is averaged over neutron energy to an experimental value of the effective resonance integral. The result is In E1/E2 ≃ 2.6, which is much less than the value 5.6 which is ordinarily used in these calculations.