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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.
D. Guillaumont, Ph. Guilbaud, C. Sorel, F. Gutierrez, S. Chalmet, M. Defranceschi
Nuclear Science and Engineering | Volume 153 | Number 3 | July 2006 | Pages 207-222
Technical Paper | doi.org/10.13182/NSE06-A2607
Articles are hosted by Taylor and Francis Online.
This paper describes the state of the art of multiscale modeling of chemical solutions encountered in separation processes. It evidences the twofold role of modeling in the understanding and the prediction of selectivity of extracting molecules and gives an outline of the situation. First, the state of the art of the modeling techniques is given, and in the various sections the different levels of description, ranging from coordination mechanisms to macroscopic calculation of selectivity ratio, are presented. An overview of the main results is given, and a prospective roadmap to multiscale modeling is provided.