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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.
K. D. Lathrop
Nuclear Science and Engineering | Volume 24 | Number 4 | April 1966 | Pages 381-388
Technical Paper | doi.org/10.13182/NSE66-A16408
Articles are hosted by Taylor and Francis Online.
To permit numerical solution of photon transport problems by the method of discrete ordinates, an anisotropic scattering approximation and a multigroup cross-section preparation recipe are selected. The incorporation of the anisotropic scattering approximation in a discrete-ordinates transport-theory code is described. Results of discrete-ordinates calculations are compared to Monte Carlo and moments-methods computations in three test problems. Flux values and leakage percentages in the different methods of solution are found to be in excellent agreement, even when a relatively low-order (four or six terms of a Legendre polynomial expansion) anisotropic scattering approximation is used in the discrete-ordinates method. In the test problems considered, the discrete-ordinates method is (computationally) nearly an order of magnitude faster than the other methods.