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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.
B. T. Adams, J. E. Morel
Nuclear Science and Engineering | Volume 115 | Number 3 | November 1993 | Pages 253-264
Technical Paper | doi.org/10.13182/NSE115-253
Articles are hosted by Taylor and Francis Online.
A two-grid acceleration scheme for the multigroup Sn equations with neutron upscattering is developed. Although it has been tested only in one-dimensional slab geometry with linear-discontinuous spatial differencing, previous experience suggests that it should be applicable in any geometry with any spatial differencing scheme for which an unconditionally efficient diffusion-synthetic acceleration scheme exists. The method is derived, theoretically analyzed, and computationally tested. The results indicate that the scheme is unconditionally effective in terms of error reduction per iteration and highly efficient in terms of computational cost.