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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.
F. B. Cheung, L. Baker, Jr.
Nuclear Science and Engineering | Volume 60 | Number 1 | May 1976 | Pages 1-9
Technical Paper | doi.org/10.13182/NSE76-A26851
Articles are hosted by Taylor and Francis Online.
Transient flow and freezing of molten core debris in coolant channels of the subassemblies of a liquid-metal fast breeder reactor has been an important consideration in postaccident heat removal. As a first step to study this phenomenon, transient freezing of a number of simulant materials in tube flow was investigated experimentally. Controlling parameters of the transient freezing process were determined from theoretical consideration. A parametric study of the effects of the controlling parameters on freezing was carried out, and an empirical correlation based on experimental measurements was obtained that is applicable over a wide range of Prandtl numbers. Results of the present study were compared to the existing analytical models.