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Denver, CO|Sheraton Denver
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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.
W.J. McGann, G. Entine, R.F. Farrell, A. Clapp, M.R. Squillante
Fusion Science and Technology | Volume 14 | Number 2 | September 1988 | Pages 1041-1046
Measurement of Tritium | doi.org/10.13182/FST88-A25275
Articles are hosted by Taylor and Francis Online.
Low noise silicon avalanche photodiodes (APDs) with ultra thin surface dead layers have been developed for detecting tritium beta particles. Unlike the present windowless proportional counters and liquid scintillation techniques this alternative requires no liquid or flowing gases and has the reliability and compactness of solid-state detector technology. We have carried out detector research to study and optimize the physical and electrical properties of APDs for nuclear spectroscopy. A particular emphasis has been placed on reducing the noise and surface dead layer of large area avalanche photodiodes (1 cm diameter) in order to maximize the quantum efficiency for detecting low energy betas, as well as to investigate the effects of changing temperature, bias, and leakage current on avalanche gain, signal-to-noise and tritium detection quantum efficiency.