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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. L. Corradini
Nuclear Science and Engineering | Volume 78 | Number 2 | June 1981 | Pages 154-170
Technical Paper | doi.org/10.13182/NSE81-A20101
Articles are hosted by Taylor and Francis Online.
During the past few years, over 300 small-scale experiments have been performed by Nelson at Sandia National Laboratories, investigating the triggering of steam explosions over a variety of initial conditions. The primary purpose of this paper is to present the results of phenomenological modeling and analyses that may explain the experimental observations. These three major conclusions are suggested by the analysis. Noncondensible gases generated by fuel oxidation appear to be the cause of steam explosion suppression for metallic fuel melts, causing a more stable film between the hot and cold liquids. Suppression of the explosion by high ambient pressure or high water temperature is caused by the initial coolant vapor film becoming more stable inhibiting film collapse. All the above effects appear to be trigger related. Therefore, an explosion can be generated if the trigger magnitude is sufficiently increased.