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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.
S. B. Gunst, J. C. Connor, E. Fast
Nuclear Science and Engineering | Volume 8 | Number 2 | August 1960 | Pages 128-132
Technical Paper | doi.org/10.13182/NSE60-A25788
Articles are hosted by Taylor and Francis Online.
In reactor-lifetime calculations it is customary to take account of the transient behavior of two fission-product poisons, Xe135 and Sm149, and to assume the gross poisoning due to all other products is a function of the total time-integrated exposure irrespective of the detailed flux history. This description tacitly assumes that the gross poisoning of the other products is stable. The adequacy of the description is demonstrated experimentally for a natural UO2 sample irradiated in a reactor flux of 2 × 1014 n/cm2-sec to an exposure of 6300 Mwd/ton. The poisoning associated with the so-called “stable” fission products is found to change only (−7 ± 3) barns/fission per year.
