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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.
Ali Uludogan, Michael L. Corradini
Nuclear Technology | Volume 109 | Number 2 | February 1995 | Pages 171-186
Technical Paper | Nuclear Reactor Safety | doi.org/10.13182/NT109-171
Articles are hosted by Taylor and Francis Online.
A theoretical model has been developed for molten metal/water interactions by using a semiempirical heat transfer correlation and a mass transfer analogy to predict the metal ignition threshold temperatures for aluminum and zirconium. The predictions of the aluminum and zirconium metal temperature responses are studied to identify self-propagating chemical reactions that lead to metal ignition for various metal particle sizes and initial temperatures. The results showed that the ignition of the aluminum metal is possible when the aluminum oxide layer remains in the liquid phase until the metal temperature reaches its oxide layer solidification temperature under highly transient conditions. For both metals, the ignition temperature increased with a larger size of the metal particle, with zirconium requiring qualitatively larger temperatures for ignitions. It was observed that the effect of the water temperature strongly depends on where the chemical reaction front may actually be located.