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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.
Toshio Sanda, Fumiaki Nakashima, Keisho Shirakata
Nuclear Science and Engineering | Volume 113 | Number 2 | February 1993 | Pages 97-108
Technical Paper | doi.org/10.13182/NSE113-97
Articles are hosted by Taylor and Francis Online.
Eigenvalue separation, which is used as a criterion to determine the degree of neutronic decoupling of the core, is measured by a static flux-tilt method on Zero-Power Physics Reactor assemblies. Space-dependent nuclear characteristics, such as the radial distributions of the reaction rates and the control rod worths, are also measured for the same assemblies. The calculation/experiment (C/E) values vary with core radius depending on the assemblies. The relationship between decoupling and C/E radial dependence is investigated, and a quantitative relation is found between the eigenvalue separation of the first radial mode and the C/E radial dependence.