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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.
R. E. Alcouffe, E. W. Larsen, W. F. Miller, Jr., B. R. Wienke
Nuclear Science and Engineering | Volume 71 | Number 2 | August 1979 | Pages 111-127
Technical Paper | doi.org/10.13182/NSE71-111
Articles are hosted by Taylor and Francis Online.
A study of spatial discretization schemes for the multigroup discrete-ordinates transport equations in slab geometry is described. The purpose of the study is to determine the most computationally efficient method, defined as the one that produces the minimum error for a given cost. We define cost as the total amount of computer time required to complete one inner iteration, given a limit on storage, and we use three error norms to measure the accuracies of edge fluxes, cell average fluxes, and integral parameters. We study three test problems; the first is a model one-group problem we examine in detail, while the second and third are more realistic multigroup problems. Our conclusion is that a new method, labeled linear characteristic, significantly outperforms all other methods that have been implemented up to the present time.