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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.
Alain Hébert
Nuclear Science and Engineering | Volume 162 | Number 1 | May 2009 | Pages 56-75
Technical Paper | doi.org/10.13182/NSE162-56
Articles are hosted by Taylor and Francis Online.
We investigate a new approach for resonance self-shielding calculations, based on a simplified and straightforward subgroup model, used in association with an improved Santamarina-Hfaiedh energy mesh. This subgroup model relaxes the need to represent the correlated slowing-down effects by optimizing the energy mesh. The resulting equations become sufficiently simple to reintroduce an accurate representation of other physical effects that are generally neglected, namely, the mutual shielding effect between different isotopes and the temperature correlation effect caused by an explicit temperature gradient in a resonant isotope. The resulting self-shielding model is shown to reach levels of accuracies that are similar to those of a Monte Carlo method.