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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.
A. K. Hertrick, R. A. Riddell, R. E. Schwirian, G. M. Dorogy, W. J. Bryan, R. J. Hopkins
Nuclear Science and Engineering | Volume 88 | Number 3 | November 1984 | Pages 396-403
Technical Paper | doi.org/10.13182/NSE84-A18593
Articles are hosted by Taylor and Francis Online.
Comparisons of analytical and experimental results are presented for the fluid jetting resulting from the existence of small gaps between parallel flow regions with dissimilar hydraulic characteristics. The experiment simulates the baffle gaps between a nuclear reactor core and the peripheral region around it, called the barrel-baffle region. Baffle gap fluid velocities are measured by a technique in which the only disturbance to the gap flow is a small pressure tap in the gap wall. The analysis uses an iterative, hydraulic network approach and is shown to yield good results when compared to the measured gap jet velocity and pressure drop distributions.