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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.
Samim Anghaie, Zhongtao Ding
Nuclear Technology | Volume 120 | Number 1 | October 1997 | Pages 57-70
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT97-A35431
Articles are hosted by Taylor and Francis Online.
A thermal-hydraulic model is developed to simulate and study the dynamic behavior of bulk evaporation and condensation processes in a multiphase nuclear fuel cell. The phase-change process is driven and controlled by internal heat generation and wall heat removal under constant volume condition. The modeling involves variable gravity conditions that allow for performance analysis of the multiphase nuclear fuel for terrestrial and space applications. A complete set of governing equations for both liquid and vapor phases is developed and numerically solved. The model is used to simulate the operation of a multiphase nuclear fuel cell at zero-gravity and microgravity levels. The temperature and phase distribution, the flow field, and the evolution of the liquid-vapor interface are computed and demonstrated.