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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.
K. M. Ling, S. C. Jardin, F. W. Perkins
Fusion Science and Technology | Volume 12 | Number 1 | July 1987 | Pages 22-29
Technical Paper | Fusion Reactor | doi.org/10.13182/FST87-A25050
Articles are hosted by Taylor and Francis Online.
The simulation code TSEC (time-dependent spectral equilibrium code) has been developed to model the axisymmetric evolution of a tokamak on the resistive (L/R) time scale of the external coils, conductors, or shell. The electromagnetic interaction between the plasma and the external circuit is taken into account in a self-consistent manner. The Lagrangian TSEC utilizes magnetic flux coordinates with spectral decomposition in the angle variable θ. The plasma is modeled as a finite-size, zero-inertia, finite-pressure fluid, which adjusts its position and shape to remain in free-boundary equilibrium, consistent with the currents in the external circuits. At the heart of TSEC is a fast method of calculating the self-consistent free-boundary plasma equilibrium at each time step, which is based on the minimization of a certain mean-square error.