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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.
Z. Wang, K. Almenas
Nuclear Science and Engineering | Volume 102 | Number 1 | May 1989 | Pages 101-113
Technical Paper | doi.org/10.13182/NSE89-A23634
Articles are hosted by Taylor and Francis Online.
A methodology is developed to assess distortions generated by scaling laws. This requires distinction between distortions inherent in a given scaling scheme [scaling law distortions (SLDs)] and the actual distortions (ADs) existing between prototypical behavior and the transposed behavior of a model. To develop the methodology, additional scaling concepts including “reference” and “resultant” similarity parameters and “required” and “assumed”’ conditions are defined. These parameters distinguish between conditions that are directly controllable and thus can be unequivocally determined by a scaling procedure and those that must rely to varying degrees on implied assumptions. In an illustrative example, it is shown that assessments of alternate scaling schemes can produce different conclusions when based on the results of an AD analysis as compared to an analysis of SLDs alone. The RELAP5 code is used to evaluate both prototypical and model behavior.