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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.
A. Hébert
Nuclear Science and Engineering | Volume 160 | Number 2 | October 2008 | Pages 261-266
Technical Note | doi.org/10.13182/NSE160-261TN
Articles are hosted by Taylor and Francis Online.
The double-heterogeneity treatment is available in many lattice codes to represent the effect of one or many stochastic media on the deterministic solution of the neutron transport equation. A stochastic medium is a mixture of a diluent matrix with cylindrical or spherical microstructures of different sizes. Different models have been presented in the past, some limited to the collision probability method and others limited to the method of characteristics. We have reformulated these existing models in a uniform framework and introduced a scattering reduction, making them compatible with any solution technique of the neutron transport equation. This new approach has been implemented in the Dragon Version4 lattice code in a generic way that is interoperable with the overall code features. This approach can easily be implemented within any existing code dedicated to the solution of the transport equation.