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2026 ANS Annual Conference
May 31–June 3, 2026
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.
K. A. Moreno, H. W. Xu, A. Nikroo, H. Huang, J. Fong, J. E. Knipping, J. L. Kaae, E. M. Giraldez
Fusion Science and Technology | Volume 51 | Number 4 | May 2007 | Pages 581-585
Technical Paper | doi.org/10.13182/FST07-A1448
Articles are hosted by Taylor and Francis Online.
Rayleigh-Taylor experiments have been designed for the OMEGA laser facility at the Laboratory for Laser Energetics (LLE) of the University of Rochester to explore perturbations during implosion of this ablator. For the experiment to be relevant, the beryllium copper flat used as the target must be similar in chemical makeup and morphology to the NIF ignition target. To visualize the perturbation growth, the flats were fabricated with sinusoidal perturbations on one side of a wavelength of 50 m and amplitude of 0.25 m. The flats were doped with more copper than required in the NIF ablator specification to increase the x-ray optical depth during burn through. These flats were successfully fabricated using a mold technique. This technique, as well as the characterization techniques used to verify the chemical makeup and thicknesses, will be described in this paper.