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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.
T. M. Sutton
Nuclear Science and Engineering | Volume 98 | Number 2 | February 1988 | Pages 169-173
Technical Paper | doi.org/10.13182/NSE88-1
Articles are hosted by Taylor and Francis Online.
An implementation of Wielandt’s method of eigenvalue shifting to accelerate the convergence of nodal expansion method (NEM) reactor calculations is presented. This particular formulation of the method greatly decreases the number of source iterations required for a particular degree of convergence while retaining most of the efficiency of a groupwise solution procedure for the inner iterations. The nature of the NEM equations causes Wielandt’s method to behave somewhat differently than when it is applied to the finite difference equations. Results are presented for well-known two- and three-dimensional benchmark problems.