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Conference Spotlight
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.
M. Necati Özişik, Daniel Hughes
Nuclear Science and Engineering | Volume 35 | Number 3 | March 1969 | Pages 384-393
Technical Paper | doi.org/10.13182/NSE69-A20018
Articles are hosted by Taylor and Francis Online.
The steady-state flux of matter of molecular size from a mixture of vapor and noncondensable gas to the walls of a large containment vessel during the condensation of vapor can be predicted with the present analysis. A boundary layer approach has been used in formulating the mass-transfer problem and the resulting equations are solved numerically. Charts are presented for the flux of molecular iodine from a steam-air mixture to the walls of the containment vessel during the condensation of steam. Knowing the total pressure and the temperature of the bulk mixture, the wall temperature, and the concentration of air and iodine in the bulk mixture, the rate of removal of iodine from the vessel can be predicted. The analysis is correlated with an experiment and close agreement is found.