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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.
J. K. Hoffer, J. D. Sheliak, D. A. Geller, D. Schroen, P. S. Ebey
Fusion Science and Technology | Volume 50 | Number 1 | July 2006 | Pages 15-32
Technical Paper | doi.org/10.13182/FST06-A1217
Articles are hosted by Taylor and Francis Online.
Solid deuterium-tritium (the symbol DT is used here to represent the equilibrium mixture of 50% deuterium and 50% tritium, having the molecular composition: 25% D2, 50% deuterium tritide molecules, and 25% T2) (DT) is nucleated from DT-wetted foam and subsequently forms a uniform layer by the beta-layering phenomenon. Compared to DT frozen on smooth metal surfaces, the surface roughness of the inner-lying pure DT solid-vapor interface is substantially lower at all modal values higher than ~10, possibly due to the small-grain-size polycrystalline nature of the solid. For thick layers, deleterious effects are observed, notably the formation of DT-rich vapor voids in the foam matrix and the subsequent propagation of these voids into the pure solid DT layer.