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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.
J. J. Van Binnebeek
Nuclear Science and Engineering | Volume 54 | Number 3 | July 1974 | Pages 341-352
Technical Paper | doi.org/10.13182/NSE74-A23424
Articles are hosted by Taylor and Francis Online.
Using the asymptotic transport theory and the reactor image method in a reactor lattice, the group theory is applied to develop a solid-state physics formalism, generalizing Nelkin’s theory for homogeneous media. The eigenvalues of the transport operator are shown to be classified according to the representations of the lattice symmetry group, while the corresponding flux eigenfunctions form a basis for those representations. These flux eigenfunctions have a Bloch form that can be interpreted as a factorization of the flux into a macroscopic and a microscopic shape. Finally, the transport eigenvalue problem is shown to be reduced to a unit cell eigenvalue problem for a modified transport equation, the resolution of which can be simplified by symmetry considerations in the choice of trial functions for some variational principle.