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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. J. H. Goddard, P. W. Johnson
Nuclear Science and Engineering | Volume 37 | Number 1 | July 1969 | Pages 127-136
Technical Paper | doi.org/10.13182/NSE69-A20904
Articles are hosted by Taylor and Francis Online.
Thermal-neutron diffusion lengths have been measured with an accuracy of typically ½% in aqueous absorbing solution contained in a tank adjacent to a reactor thermal column. Both pure water and boric acid solutions were used at 22.3 and 65°C, and solutions of cadmium and gadolinium salts at the lower temperature. Ten concentrations of each absorber were used. Two of the measured diffusion lengths for cadmium yield space eigenvalues which violate the (ΣT)min limit of Corngold. Slight diffusion cooling occurs in cadmium solutions in contrast to marked heating effects in boron and gadolinium solutions. Theoretical predictions of diffusion lengths have been obtained by a B2 solution of the transport equation. Four scattering models were used: the Nelkin model, Haywood model, and two further models consisting of modifications to each of these. The modifications highlight particular parts of the hydrogen-atom generalized frequency distribution. A Laguerre polynomial expansion technique is investigated but found to be unsuitable for the analysis of non-1/v poison data.