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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.
Jim E. Morel, Anil Prinja, John M. McGhee, Todd A. Wareing, Brian C. Franke
Nuclear Science and Engineering | Volume 156 | Number 2 | June 2007 | Pages 154-163
Technical Paper | doi.org/10.13182/NSE07-A2693
Articles are hosted by Taylor and Francis Online.
A new Sn discretization of the angular Fokker-Planck operator used in three-dimensional calculations is derived for product quadrature sets. It is straightforward to define discretizations that preserve the null space and zeroth angular moment of the analytic operator and are self-adjoint, monotone, and nonpositive-definite. Our new discretization differs from more straightforward discretizations in that it also preserves the three first angular moments of the analytic operator when applied in conjunction with product quadrature sets constructed with Chebychev azimuthal quadrature. Otherwise, it preserves only two of the three first angular moments. Computational results are presented that demonstrate the superiority of this new discretization relative to a straightforward discretization. Two-dimensional versions of the new discretization are also given for x-y and r-z geometries.