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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.
Aarno Isotalo, Ville Sahlberg
Nuclear Science and Engineering | Volume 179 | Number 4 | April 2015 | Pages 434-459
Technical Paper | doi.org/10.13182/NSE14-35
Articles are hosted by Taylor and Francis Online.
Four predictor-corrector schemes for coupling the neutronics and depletion in burnup calculations are compared in four assembly segment test cases with various step lengths. Three of the coupling schemes are established methods. The last one, LE/QI with substeps, is one of the higher-order methods presented in our earlier publications. The purpose of this paper is twofold. First, it serves as a further validation of LE/QI, as well as a demonstration of the advantage it provides over the prior methods. Second, it aims to shed some light on the relative performances of the three prior methods as only two of them appear to have been compared in the open literature. Determining the relative performances of the prior methods is a value in itself, but it also serves to complement the results of our earlier studies, which compared the higher-order methods to only one of the prior methods.