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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.F. Schoepf, A.A. Harms
Fusion Science and Technology | Volume 20 | Number 4 | December 1991 | Pages 1057-1064
Nuclear Reactions/Isotope Separation | doi.org/10.13182/FST91-A11946981
Articles are hosted by Taylor and Francis Online.
The cycling effect of coupled particle and energy feedback in nuclear reaction systems is considered. Nonlinear dynamical equations for the evolution of interacting particle populations and their associated mean kinetic energies are formulated for a finite reaction domain. Selected low-order reductions and specifications applicable to some nuclear fuel cycles are examined for their dynamic trajectories in phase-space. In order to identify typical chain characteristics we classify particle and energy chaining on the basis of a generalized kinetic formulation. Consideration of both these reaction sustaining mechanisms leads inevitably to nonlinear dynamics behaviour.