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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.
M. Wadle
Nuclear Science and Engineering | Volume 100 | Number 2 | October 1988 | Pages 89-104
Technical Paper | doi.org/10.13182/NSE88-A29019
Articles are hosted by Taylor and Francis Online.
Experimental data are compared to calculations with a one-dimensional computer code (DUESE). In a systematic study, two-phase flow models (homogeneous and drift-flux) and empirical parameters in constitutive correlations of different code versions were tested. Special attention was given to the pressure rise in the diffuser, which could be calculated adequately only with the drift-flux correlation taken from the SOLA-DF code., Velocity data for choked flow conditions are compared to four different two-phase sound velocity models, which give the best agreement with the equilibrium sound velocity.