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Conference Spotlight
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.
Ross C. Anderson, Kerry L. Basehore
Nuclear Technology | Volume 77 | Number 2 | May 1987 | Pages 227-230
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT87-A33987
Articles are hosted by Taylor and Francis Online.
A Monte Carlo departure from nucleate boiling ratio (DNBR) limit analysis has recently been performed with a six-channel thermal-hydraulics code model as the tool for DNBR calculations. Compared is the use of the few-channel, fast-running code models with the use of a response surface model as the DNBR calculator. The latter had been used to date for Monte Carlo analyses. The principles of Monte Carlo DNBR limit determination are reviewed to provide the necessary background information.