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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.
Jiri Stepanek
Nuclear Science and Engineering | Volume 78 | Number 1 | May 1981 | Pages 53-65
Technical Paper | doi.org/10.13182/NSE81-A19606
Articles are hosted by Taylor and Francis Online.
The transport equation in slab geometry is solved by means of the DPN “surface flux” method, based on a Pn polynomial expansion in both angle and space and a double Pn approximation of the angular distribution at interval surfaces. The method, which has been incorporated into the multigroup transport code SURCU, is compared to a number of different codes such as ANISN, DIT, etc. For a given accuracy in the flux SURCU turns out to be faster than other codes since it needs fewer spatial flux moments than other programs need regions or space points. In addition, the required DPN surface flux approximation is much lower than the corresponding Sn approximation. A number of similarities between the present method and both Sn theory and collision probabilities are discussed.