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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.
James S. Warsa
Nuclear Science and Engineering | Volume 160 | Number 3 | November 2008 | Pages 385-400
Technical Note | doi.org/10.13182/NSE160-385TN
Articles are hosted by Taylor and Francis Online.
A class of discontinuous finite element methods (DFEMs) is proposed for spatially discretizing the SN transport equation in multidimensions. Mesh cells are first subdivided into simplexes. Equations for the angular fluxes in a cell are then generated by computing the linear DFEM SN equations for a simplex on each subelement and assembling the equations over the subelements. The result is a (piecewise) linear continuous finite element method spatial discretization on the cell that is coupled discontinuously to its neighbors through the standard DFEM upwinding technique. The method is presented in two-dimensional Cartesian coordinates. Numerical experiments indicate the method has numerical properties that are suitable for a new SN spatial discretization.