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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
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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.
S. Tominaga, A. Busnyuk, T. Matsushima, K. Yamaguchi, F. Ono, T. Terai, M. Yamawaki
Fusion Science and Technology | Volume 41 | Number 3 | May 2002 | Pages 919-923
Material Interaction and Permeation | Proceedings of the Sixth International Conference on Tritium Science and Technology Tsukuba, Japan November 12-16, 2001 | doi.org/10.13182/FST02-A22719
Articles are hosted by Taylor and Francis Online.
In view of benefits expected from the employment of membranes for particle control in fusion devices and for separation of hydrogen from its mixtures with hydrocarbons, the behavior of a Pd sample is investigated in a plasma-membrane device with a graphite target. The permeation of hydrogen through a 0.2 mm-thick Pd membrane with clean surfaces was found to be limited by the bulk diffusion. An incident flux of hydrocarbon radicals (approx. 2×1012 cm−2s−1) in hydrogen plasma forms no carbon layer on the Pd surface. Applying of a negative bias to the target gives rise to target sputtering, and to the deposition of carbon onto the membrane surface. The formation of carbon layer results in a decrease of the absorption probabilities of both H2 molecules and H atoms. The effect of the deposition of carbon is found to depend non-monotonically on membrane temperature.