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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 154 | Number 2 | October 2006 | Pages 134-173
Technical Paper | doi.org/10.13182/NSE06-A2623
Articles are hosted by Taylor and Francis Online.
The occurrence of superconvergence in various first-order spherical harmonics approximations of the neutral particle transport equation is being investigated. Superconvergence refers to the added accuracy gained in evaluating the solution of the transport equation at optimally chosen base points of the finite element trial functions. It has been observed that this phenomenon is happening when primal and dual discretizations in space and angle lead to the same numerical result, a property also referred as primal-dual agreement. A systematic search is presented for primal-dual agreement on one-dimensional slab, tube, and spherical geometries and on Cartesian two-dimensional geometries based on complete and simplified Pn approximations. Primal-dual agreement was successfully obtained in all Cartesian geometries but not in tube and spherical geometries, due to the angular redistribution term.