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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.
S. Langenbuch, W. Maurer, W. Werner
Nuclear Science and Engineering | Volume 64 | Number 2 | October 1977 | Pages 508-516
Technical Paper | doi.org/10.13182/NSE77-A27386
Articles are hosted by Taylor and Francis Online.
A systematic study of the accuracy and efficiency of a class of asymmetric weighted residual methods, as applied to neutron diffusion equations, is presented. Polynomials up to the sixth order are considered, with and without mixed spatial derivative terms. It turns out that the sixth-order polynomial with mixed derivative terms is most efficient: yet, for normal reactor conditions, sufficiently accurate results can already be obtained with a third-order polynomial without mixed-derivative terms.