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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.
G. A Esteban, F. Legarda, A. Perujo
Fusion Science and Technology | Volume 48 | Number 1 | July-August 2005 | Pages 617-620
Technical Paper | Tritium Science and Technology - Materials Interaction and Permeation | doi.org/10.13182/FST05-A1001
Articles are hosted by Taylor and Francis Online.
A time-dependent gas-phase absorption-desorption technique has been used to evaluate the isotope effect on the diffusive transport parameters of hydrogen isotopes in polycrystalline tungsten and the reduced activation ferritic-martensitic steel OPTIFER-IVb.Experiments have been run with both protium and deuterium obtaining their respective transport parameters of diffusivity (D), Sieverts' constant (Ks), the trap site density (Nt) and the trapping activation energy (Et). Isotope effects on these transport parameters are analysed and modelled. Because the classical isotope relation for diffusivity has not been fulfilled, quantum-statistical vibration theory has been applied to model the isotopic relation. The hydrogen vibration properties description in a metallic-host lattice allows deriving more accurate tritium transport parameters. A congruent isotopic variation of diffusion parameters related to the type of crystal structure, bcc, has been confirmed.