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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.
Howard Wilson
Fusion Science and Technology | Volume 57 | Number 2 | February 2010 | Pages 174-182
Equilibrium and Instabilities | Proceedings of the Ninth Carolus Magnus Summer School on Plasma and Fusion Energy Physics | doi.org/10.13182/FST10-A9408
Articles are hosted by Taylor and Francis Online.
As one increases the heating power in a tokamak beyond a threshold, the confinement undergoes a bifurcation, with a dramatic increase in the confinement time by a factor ~2. This improved confinement regime, or H-mode, is primarily due to the formation of an insulating region at the plasma edge, where steep pressure gradients can form. A feature of H-mode operation is a series of explosive plasma events, called Edge Localised Modes, or ELMs. They repeatedly expel large amounts of energy and particles from the plasma, with serious consequences for the heat loads that plasma facing components must be designed to handle. The present understanding of these ELMs in terms of ideal magneto-hydrodynamic instabilities will be reviewed in this paper.