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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.
T. Banno, S. Baba, A. Kinbara
Fusion Science and Technology | Volume 6 | Number 2 | September 1984 | Pages 499-502
Technical Paper | Selected papers from the Ninth International Vacuum Congress and the Fifth International Conference on Solid Surfaces (Madrid, Spain, September 26-October 1, 1983) | doi.org/10.13182/FST84-A23227
Articles are hosted by Taylor and Francis Online.
Two types of stainless steel, SUS304L and YUS170, are investigated by means of Auger Electron Spectroscopy and Scanning Electron Spectroscopy in order to assess some of their surface properties. In this experiment the effect of atomic hydrogen exposure on the composition of the material surfaces and on the surface topography is examined. For the irradiation with atomic hydrogen at elevated temperatures (100 °C ∼ 400 °C) an effective carbon removal cross section, σ, is obtained. The value of σ is of the order of 10−22 m2 for SUS304L and 10−23 m2 for YUS170. The surface oxygen concentration shows no decrease during the irradiation. Sulphur enrichment is detected after heating the samples due to surface segregation. The SEM observations show topographical surface changes in the grain size and in the roughness after heating and exposure to atomic hydrogen.
