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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.
S. Kaizerman, E. Wacholder, E. Elias
Nuclear Science and Engineering | Volume 84 | Number 2 | June 1983 | Pages 166-168
Technical Note | doi.org/10.13182/NSE83-A17724
Articles are hosted by Taylor and Francis Online.
A simple flow pattern map (vm versus α coordinates) is proposed that provides computational means for selecting steam/water two-phase flow constitutive equations. This flow pattern map can easily be implemented in a thermal-hydraulic code. Determination of the map boundaries between different flow patterns for any channel hydraulic diameter is feasible. This determination is based partially on theoretical criteria that were developed for adiabatic two-phase flows and partially on physical reasoning. Good agreement is obtained between the predicted map regions and experimental data from uniformly heated four-rod bundle and tubes setups.