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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.
E. L. Alfonso,I. Anteby, D. R. Harding
Fusion Science and Technology | Volume 38 | Number 1 | July 2000 | Pages 149-155
Technical Paper | Thirteenth Target Fabrication Specialists’ Meeting | doi.org/10.13182/FST00-A36133
Articles are hosted by Taylor and Francis Online.
A thermal model of an OMEGA-scale cryogenic inertial confinement fusion (ICF) target within the layering sphere of the OMEGA Cryogenic Target Positioner was created. A computational fluid dynamics code was used to calculate the temperature profile in the target. The sensitivity of the temperature profiles was modeled for variations in (1) target alignment in the layering sphere, (2) target specifications, and (3) temperature uniformity on the layering sphere’s inner surface. DT-ice non-uniformity in the target was determined by offsetting the center of the ice’s void to a position that minimized the temperature variance of the ice surface. The numerical solutions were compared to analytical solutions when available.