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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.
W. P. Poenitz
Nuclear Science and Engineering | Volume 40 | Number 3 | June 1970 | Pages 383-388
Technical Paper | doi.org/10.13182/NSE70-A20189
Articles are hosted by Taylor and Francis Online.
The ratios σγ(238U)/σ/(235U), σγ(238U)/σγ(239Pu), and σf (239Pu)/σf (235U) have been measured in the energy range 130 to 1400 keV. The activation technique was used to determine the capture rate in 238U. The 278 keV γ ray emitted in the decay of 239Np was detected by means of a Ge(Li) detector. The counting efficiencies have been absolutely determined for the measurement of σγ(238U)/σf(239Pu). For the determination of the ratio σγ(238U)/σf(235U) the counting efficiencies have been eliminated by a measurement of the ratio at thermal-neutron energies. The ratio σf(239Pu)/σf(235U) has been measured in a back-to-back gas scintillation counter using the time-of-flight method for background suppression. The measurements resulted in an overdetermination of two unknown quantities by three measured values. The fitted values derived from the collective results were in good agreement with the individual measured ratios.
