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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.
G. Kamberov, L. Popova, P. Marinov, V. Hristov
Fusion Science and Technology | Volume 47 | Number 3 | April 2005 | Pages 801-805
Technical Paper | Fusion Energy - Plasma Engineering, Heating, Current Drive, and Control | doi.org/10.13182/FST05-A785
Articles are hosted by Taylor and Francis Online.
JET and TCV data for the correlations between ELM frequency and plasma characteristics are analyzed in the framework of classical Fokker-Planck approach. A general formula is obeyed in wide range of ELM sizes with varying coefficients corresponding to the main engineering parameters. The values of the coefficients differ from those in the solution of Fokker-Planck equation for diffusion revealing the impact of non-diffusive transport. Preliminary estimations for the impact of plasma recycling and impurities on the quasi equilibrium state of pedestal plasma during ELM discharges are made. They will be verified with PIC simulation of the transport of plasma in the SOL and its interactions with the plates of the divertor.
