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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.
S. M. Qaim, R. Wölfle, M. M. Rahman, H. Ollig
Nuclear Science and Engineering | Volume 88 | Number 2 | October 1984 | Pages 143-153
Technical Paper | doi.org/10.13182/NSE84-A28398
Articles are hosted by Taylor and Francis Online.
A deuterium gas target was constructed for producing quasi-monoenergetic neutrons in the 5- to 10-MeV energy region via the D(d, n)3He reaction at a compact cyclotron. Some of the characteristics of the neutron source were investigated. The neutron spectrum was characterized by the multiple foil activation technique in combination with the iterative code SAND II, and the results were qualitatively similar to those from time-of-flight measurements. Using this neutron source, cross sections were measured for the first time in this energy region for the reactions 58Ni(n, α)55Fe, 62Ni(n,α)59Fe, 64Ni(n,α)61Fe, 61Ni(n,p)61Co, and 62Ni(n,p)62mCo. Use was made of the activation technique, wherever necessary, radiochemical separations, and x- or gamma-ray counting. A systematic trend observed in the cross-section data is briefly discussed.