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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.
A. Yu. Chirkov, S. V. Ryzhkov, P. A. Bagryansky, A. V. Anikeev
Fusion Science and Technology | Volume 59 | Number 1 | January 2011 | Pages 39-42
doi.org/10.13182/FST11-A11570
Articles are hosted by Taylor and Francis Online.
A numerical model of ion kinetics is considered for the axially symmetrical magnetic trap. The trap contains warm Maxwellian plasma and strongly non-Maxwellian high-energy (fast) ions. The steady-state fast ion population is supported by the ionization of high-energy neutral atoms injected into the plasma. The physical model is based on the kinetic equation with the two-dimensional Fokker–Planck collision operator in the velocity phase space. Regimes of plasma exhaust through the mirrors are considered taking into account the possibility of electrostatic barrier formation. Parameters of power balance are discussed for the system under consideration.