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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.
J. P. Hennart, J. G. Martín, J. Sánchez G.
Nuclear Science and Engineering | Volume 64 | Number 3 | November 1977 | Pages 768-778
Technical Paper | doi.org/10.13182/NSE77-A27106
Articles are hosted by Taylor and Francis Online.
A finite element code is described that solves the plasma time-dependent diffusion equations in arbitrary toroidal geometry. For space discretization, linear rectangular elements are used with mapping techniques when the cross section is not circular. The time discretization is achieved by the three-step Crank-Nicolson extrapolation method. Numerical results are exhibited with several linear and nonlinear diffusion models.