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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.
C. Ertek
Nuclear Science and Engineering | Volume 89 | Number 2 | February 1985 | Pages 191-196
Technical Note | doi.org/10.13182/NSE85-A18193
Articles are hosted by Taylor and Francis Online.
Three different problems are selected for the comparison of results obtained by two different neutron flux density spectrum unfolding codes, LOUHI and SAND-II. In the first two problems, a light-water-reactor-type spectrum is considered. For both problems the same input spectrum, the same reaction rates, and the same neutron cross-section data library (ENDF/B-IV) is used. The third problem deals with the betatron-associated neutron flux density spectrum using LOUHI and SAND-II codes in the same way. This technique proved to be very useful in finding in a very practical way the problematic reaction rates, like 27Al(n, α)24Na, 48Ti(n, p)48Sc, 115In(n, n)115mIn, 127I(n, 2n)126I, and 232Th(n, f), in neutron spectrum unfolding.