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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.
D. C. Seo, H. K. Na, J. S. Yoon, S. W. Yoon
Fusion Science and Technology | Volume 47 | Number 1 | January 2005 | Pages 318-320
Technical Paper | Open Magnetic Systems for Plasma Confinement | doi.org/10.13182/FST05-A676
Articles are hosted by Taylor and Francis Online.
Wall recycling and results of ICRH discharge in the HANBIT mirror device are presented. The amount of gas loading due to recycling from the wall and recycling coefficient are estimated quantitatively by the time evolution of the pressures in each region of the HANBIT mirror device during plasma discharges. These measured pressures are compared with a model calculation made in terms of a coupled set of rate equations. Also we introduce a gas recycling model based on atomic and molecular processes. In this model, enhancement of fueling due to the recycling is evaluated on the basis of the calculated probabilities of neutral and ion production by using the rate coefficients of these reactions.