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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.
E. Z. Müller
Nuclear Science and Engineering | Volume 103 | Number 4 | December 1989 | Pages 359-376
Technical Paper | doi.org/10.13182/NSE89-A23689
Articles are hosted by Taylor and Francis Online.
A novel one-dimensional approach, which combines the“nodal equivalence theory” and response matrix homogenization methods, is developed for generating equivalent few-group nodal diffusion parameters for the radial reflector of a pressurized water reactor. This nodal reflector model has the advantage that it is much less sensitive to reactor core conditions than conventional nodal equivalence theory models. A special one-dimensional nodal equivalence theory reflector model is described and applied in numerical experiments to investigate the significance of the environment dependence of such models. Numerical results are presented to confirm the environment insensitivity of the new model and to illustrate its feasibility for application to multidimensional nodal reactor analysis.