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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.
Stanislav P. Simakov, Boris V. Devkin, Michael G. Kobozev, Ulrich von Möllendorff, Dimitriy Yu. Chuvilin
Fusion Science and Technology | Volume 36 | Number 2 | September 1999 | Pages 173-180
Technical Paper | doi.org/10.13182/FST99-A100
Articles are hosted by Taylor and Francis Online.
The results of a transmission experiment on a spherical nickel shell with a 7.5-cm-thick wall and a 14-MeV neutron point source at the center are reported. The neutron leakage spectrum from 14 MeV down to 100 keV was measured by the time-of-flight (TOF) method. Descriptions of the experimental arrangement, TOF spectrometer, measurements, and data-reduction procedures are given. The measured data are compared with results obtained in other laboratories. Three-dimensional Monte Carlo calculations with the MCNP code using the FENDL-1, EFF-2.4, and JENDL-FF nuclear data libraries were made. The FENDL-1 library predicted the neutron leakage from nickel more accurately than the other libraries.
