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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.
N. Izumi, E. Dewald, B. Kozioziemski, O. L. Landen, J. A. Koch
Fusion Science and Technology | Volume 55 | Number 3 | April 2009 | Pages 253-259
Technical Paper | Eighteenth Target Fabrication Specialists' Meeting | doi.org/10.13182/FST08-3500
Articles are hosted by Taylor and Francis Online.
Refraction-enhanced X-ray phase-contrast imaging is crucial for characterization of deuterium-tritium (D-T) ice layer roughness in optically opaque inertial confinement fusion capsules. Observation of the time development of D-T ice roughness over approximately second timescales requires a bright X-ray source that can produce an image faster than the evolution of the ice surface roughness. A laser-produced plasma X-ray source is one of the candidates that can meet this requirement. Experiments were performed at the Janus laser facility at Lawrence Livermore National Laboratory to assess the characteristics of a laser-produced plasma X-ray source as a potential backlight for in situ target characterization.