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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.
Allen Y.K. Chen, A. A. Haasz, J. W. Davis
Fusion Science and Technology | Volume 41 | Number 3 | May 2002 | Pages 711-715
Decontamination and Waste | Proceedings of the Sixth International Conference on Tritium Science and Technology Tsukuba, Japan November 12-16, 2001 | doi.org/10.13182/FST02-A22679
Articles are hosted by Taylor and Francis Online.
We present an overview of a semi-empirical kinetic model of chemical reaction product formation due to simultaneous irradiation of carbon by O+ and H+ symbolically represented by O+-H+→C. The model was developed in conjunction with our experimental studies of the O+-H+→C and the O+-H+→C/B irradiation cases; C/B represents boron-doped graphite. Model predictions were made for flux and energy dependence, and generally good agreement with experimental results has been seen for both single-species cases: H+→C and O+→C. For the O+-H+→C reaction, the model agrees quite well with the flux ratio-dependence of the H2O yield, the resulting CO and CO2 yield reductions, and the CH4 yield reduction.