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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.
Pekka Jauho, Pekka Silvennoinen
Nuclear Science and Engineering | Volume 38 | Number 2 | November 1969 | Pages 125-130
Technical Paper | doi.org/10.13182/NSE69-A19516
Articles are hosted by Taylor and Francis Online.
The neutron transport equation is solved in plane geometry for a moderator with a periodic temperature distribution using the synthetic scattering kernel of Williams. A simple correspondence between the new model and the heavy-gas model is found for physical quantities dependent on the first two eigenvalues of the kernel. A recursion procedure for solving the energy moments of the flux is also presented. The flux is determined by a method using singular eigenfunctions. Some numerical results for the mean energy of the flux as a function of the lattice length are presented for A = 8 or for A = 10 employing the heavy-gas model. In order to consider the effect of the periodicity of the temperature distribution on the mean energy of the neutron spectrum obtained, the results are compared to the mean energy of the neutron spectrum in Kottwitz geometry. There is a considerable deviation for lattices with lengths of the order of the rethermalization length. In this respect, the lattices with lengths of the order of ten rethermalization lengths describe Kottwitz geometry fairly well.