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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.
Qiang Yin, Lin Zhang, Shuyang Zhang, Jiang Xiao, Wei Zhang, Lan Zhou, Fanghua Zhu
Fusion Science and Technology | Volume 61 | Number 3 | April 2012 | Pages 197-202
Technical Paper | doi.org/10.13182/FST12-A13531
Articles are hosted by Taylor and Francis Online.
Combination rippled-flat targets can be used to measure Rayleigh-Taylor (RT) or Richtmyer-Meshkov (RM) instability in inertial confinement fusion (ICF) experiments. To produce such targets, Br-doped polystyrene film with a sinusoidal pattern was fabricated, and the rippled film was combined with a foam by casting the foam solution onto the rippled film. Attempts at combining the target and the sinusoidal pattern are discussed. The morphology was characterized by optical microscopy and white-light interferometry. The rippled plastic-foam combinations were successfully fabricated using the mold technique. This paper discusses not only the production of the rippled plastic-foam combinations and the characterization of the sample morphology but also the film thicknesses.