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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.
H. Ing, W. G. Cross
Nuclear Science and Engineering | Volume 58 | Number 4 | December 1975 | Pages 420-430
Technical Paper | doi.org/10.13182/NSE75-A26797
Articles are hosted by Taylor and Francis Online.
Spectra, calculated by Monte Carlo, are presented for neutrons transmitted through various thicknesses of iron from sources of fission neutrons, H2O-moderated fission neutrons, D2O-moderated fission neutrons, and 14.7-MeV neutrons. The sources were located at the center of iron spheres or were in the form of beams incident normally on slabs. Variations in spectral shapes are discussed from the viewpoint of effects on the response of neutron dosimeters. Effective cross sections for threshold detectors 103Rh, 115In, 32S, 237Np, 232Th, and 238U were obtained by averaging the cross sections over the calculated spectra. Average kerma , dose equivalent, and maximum dose per n/cm2 were also calculated. Curves of show the sensitivity of these detectors to spectral changes and permit the computation of correction factors to dosimeter readings.