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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.
I. Birn, S. M. Qaim
Nuclear Science and Engineering | Volume 116 | Number 2 | February 1994 | Pages 125-137
Technical Paper | doi.org/10.13182/NSE94-A21488
Articles are hosted by Taylor and Francis Online.
Cross sections were measured for the 75As(n,p)75Ge, 75As(n, α)72Ga, 75As(n,2n)74As, 74,76,78Se(n,p)74,76,78As, 78,80Se(n,α)75,77Ge, 72,73,74Ge(n,p)72,73,74Ga, and 70,76Ge(n,2n)69,75Ge reactions over the 6.3- to 14.7-MeV neutron energy range. Samples of As2O3, selenium, and germanium or GeO2 of natural isotopic abundance were used. The neutrons were produced via the D(d,n)3He reaction using a deuterium gas target at a variable energy cyclotron (En = 6.3 to 11.9 MeV) and via the T(d,n)4He reaction using a solid titanium-tritium target at a neutron generator (En = 14.7 MeV). The activation technique was used in combination with high-resolution gamma-ray spectroscopy. The experimental excitation functions are well reproduced by the nuclear model calculations, based on statistical multistep reaction theory.