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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.
R.B. Stephens
Fusion Science and Technology | Volume 28 | Number 5 | December 1995 | Pages 1809-1814
Technical Paper | Inertial Confinement Fusion Targets | doi.org/10.13182/FST95-A30417
Articles are hosted by Taylor and Francis Online.
Characterization of foam shells by optical interferometric techniques is limited by scattering caused by the foam structure. Such scattering reduces the transmitted light intensity and fringe contrast. Additionally, fringe position is not a sensitive detector of shell defects. Because of the low density of the foam, relatively large shell non-concentricity or local defects cause only slight changes in the fringe position. We have used model calculations to estimate foam parameters required to enable adequate foam shell characterization for a baseline shell.