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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.
R. Fitzpatrick
Fusion Science and Technology | Volume 59 | Number 3 | April 2011 | Page 625
Appendix A | Fourth ITER International Summer School (IISS2010) / Extended Abstracts | doi.org/10.13182/FST11-A11706
Articles are hosted by Taylor and Francis Online.
Tearing modes are magnetohydrodynamic (MHD) instabilities that often limit fusion plasma performance in tokamaks. As the name suggests, tearing modes tear and reconnect magnetic field lines, in the process converting nested toroidal flux surfaces into helical magnetic islands. Such islands degrade plasma confinement because heat and particles are able to travel radially from one side of an island to another by flowing along magnetic field lines, which is a relatively fast process, instead of having to diffuse across magnetic flux surfaces, which is a relatively slow process. [first paragraph from extended abstract]