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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.
R. Wölfle, A. Suhaimi, S. M. Qaim
Nuclear Science and Engineering | Volume 115 | Number 1 | September 1993 | Pages 71-75
Technical Notes | doi.org/10.13182/NSE93-A35524
Articles are hosted by Taylor and Francis Online.
Beryllium samples together with sets of 12 flux monitor foils having different reaction thresholds were irradiated in six different d(Be) neutron fields (Ed = 17.5 to 30.0 MeV). The shapes of the neutron spectra were determined by using the SAND-II iterative unfolding code. In a second calculational step, the excitation function for the (n,xt) process on 9 Be was obtained from the neutron flux distributions and the measured tritium activities in beryllium samples. For this purpose, the SAND-II code as well as a generalized least-squares unfolding code were applied, and both gave similar results. The excitation function thus obtained is in excellent agreement with the values obtained by using monoenergetic neutrons in the region of 13 to 20 MeV.