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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.
Vladimir M. Maslov, Yasuyuki Kikuchi
Nuclear Science and Engineering | Volume 124 | Number 3 | November 1996 | Pages 492-497
Technical Note | doi.org/10.13182/NSE96-A17927
Articles are hosted by Taylor and Francis Online.
A statistical model is used to interpret the available 232U(n,f) cross-section data in the neutron energy range from 0.003 to 7.4 MeV Below an incident neutron energy of ≈ 1 MeV, the nonthreshold energy dependence of the 232U(n,f) cross section is interpreted in a double-humped fission barrier model, the inner barrier of fissioning nucleus being ≈1 MeV lower than the outer one, as anticipated with the shell correction method calculation.
