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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.
J. F. Latkowski, Ryan P. Abbott, Ray Laning, Steve Manson, Kevin Morris, Susana Reyes, Eric Williams
Fusion Science and Technology | Volume 52 | Number 4 | November 2007 | Pages 807-811
Technical Paper | Nuclear Analysis and Experiments | doi.org/10.13182/FST07-A1590
Articles are hosted by Taylor and Francis Online.
During the past two years a team at Lawrence Livermore National Laboratory (LLNL) has used Raytheon's TopAct code to convert a variety of CAD models into TART and MCNP Monte Carlo input files. TopAct offers the possibility of enormous savings by largely eliminating the need for manual generation of models via combinatorial geometry. Also, TopAct is expected to deliver improvements in quality assurance and configuration management. We detail our experiences with various test problems. The reader will see the steady improvements that have been made in the conversion process and understand our expectations for further progress. Finally, we explain how TopAct will become a cornerstone of our future neutronics efforts.