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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.
Jean-Marie Seiler, Angélique Fouquet, Karine Froment, Francoise Defoort
Nuclear Technology | Volume 141 | Number 3 | March 2003 | Pages 233-243
Technical Paper | Thermal Hydraulics | doi.org/10.13182/NT03-A3364
Articles are hosted by Taylor and Francis Online.
A model is proposed describing the corium pool behavior with a material composition presenting a miscibility gap. The model is described in the first part of this paper, and the state of its validation is developed in the second part, against SIMECO experiments. Qualitatively the model predicts the experimental behavior (domain of existence of two layers, phase separation in the boundary layers, and power split). Applicability to the reactor situation is discussed. It is also concluded that the time delay to obtain physicochemical equilibrium between liquid phases is of the same order of magnitude as the time delay necessary to obtain thermal-hydraulic steady state (established heat flux distribution).