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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.
C. A. Frederick, C. A. Back, A. Nikroo, M. Takagi
Fusion Science and Technology | Volume 51 | Number 4 | May 2007 | Pages 647-650
Technical Paper | doi.org/10.13182/FST07-A1458
Articles are hosted by Taylor and Francis Online.
Target design for the National Ignition Facility requires either a glass or polyimide (PI) fill tube. To study the hydrodynamic effects that are introduced by a fill tube during capsule implosion, fill tube targets were fabricated for experiments at the Z-Pinch facility. Three and four fill tube targets were designed and fabricated to maximize data during each experiment. Targets were made with PI and glass fill tubes on the same capsule to study the shadowing differences between glass and plastic fill tubes. Four tube targets were fabricated with diameters ranging from 10-45 m to study the effect diameter has on implosion characteristics. Capsules were coated with a germanium-doped layer of glow discharge polymer. Blind holes were drilled in the capsules using an excimer laser. Fill tubes were fabricated using modified capillary pullers and assembly was done on a specially designed assembly station designed for fill tube fabrication. Targets were characterized by optical microscopy and by micron resolution x-ray tomography.