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Conference Spotlight
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.
D. E. Dougherty, C. N. Shen
Nuclear Science and Engineering | Volume 13 | Number 2 | June 1962 | Pages 141-148
Technical Paper | doi.org/10.13182/NSE62-A26142
Articles are hosted by Taylor and Francis Online.
Using the semidirect variational method, the time dependent coefficients of a modal expansion of the neutron fluxes are given by the Euler-Lagrange equations obtained from a variational principle for the multigroup kinetic equations. In order to avoid the difficult task of determining orthogonal eigenfunctions for a modal expansion in a complex geometry, an approximate solution of the kinetic equations by the method of the “Green's Function” results in a set of readily calculated space modes. These modes can also be adapted to perturbations in the diffusion parameters about which one has some a priori information.