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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.
Mohamed E. Sawan
Fusion Science and Technology | Volume 10 | Number 3 | November 1986 | Pages 1483-1488
Fusion Nucleonic | doi.org/10.13182/FST86-A24943
Articles are hosted by Taylor and Francis Online.
Geometrical and spectral differences between inertial confinement fusion (ICF) and magnetic confinement fusion (MCF) facilities lead to significant variation of up to ∼ 60% in peak values and profiles of the time averaged blanket nuclear parameters for the same first wall exposure. Simple scaling of radiation effects with neutron wall loading is inappropriate. These effects together with the temporal effects, that result in ∼ 5 to 8 orders of magnitude higher instantaneous reaction rates in the pulsed ICF reactors, lead to significantly different blanket performances in the ICF and MCF reactor environments.