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Denver, CO|Sheraton Denver
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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. R. Richey
Nuclear Science and Engineering | Volume 31 | Number 1 | January 1968 | Pages 32-39
Technical Paper | doi.org/10.13182/NSE68-A18005
Articles are hosted by Taylor and Francis Online.
A computational analysis was made for the large number of available critical experiments with hydrogenous mixtures. The calculations were made using both multigroup S4 and diffusion theory with 18 energy groups obtained with the GAMTEC-II code. Resonance capture by the isotope 240Pu was treated in the NR and NRIA approximations. Rather good agreement was found between experiment and theory. The results are given as a parametric survey for Pu densities ranging from 0.015 to 1.0 g/cm3. The calculated minimum critical mass of 239Pu is 547 g for water-reflected aqueous Pu(NO3)4 solutions and 531 g for similar mixtures of 239Pu and water.
