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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.
M. G. Zaalouk, J. O. Berg
Nuclear Science and Engineering | Volume 40 | Number 3 | June 1970 | Pages 472-477
Technical Paper | doi.org/10.13182/NSE70-A20198
Articles are hosted by Taylor and Francis Online.
An analysis is presented for calculating the depletion characteristics (poison effective cross section, self-shielding, and spatial-flux distribution) of a cylindrical pin containing one isotope or a mixture of burnable poison isotopes. The analysis takes into consideration the anisotropy of incident neutrons. The resulting equations are programmed on a digital computer, and the results are in good agreement with the transport-theory calculations of the depletion. One of the particular merits of the presented analysis is the high degree of accuracy achieved and the shorter computation time required in comparison to similar transport-theory methods. To illustrate the method, sample calculations are performed for a cylindrical fuel pin containing 5% (wt%) gadolinium in a typical Boiling Water Reactor core lattice.