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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.
Andre Mockel
Nuclear Science and Engineering | Volume 29 | Number 1 | July 1967 | Pages 51-57
Technical Paper | doi.org/10.13182/NSE67-A17809
Articles are hosted by Taylor and Francis Online.
Numerical results for the time asymptotic neutron flux in a pulsed experiment, and for the thermal utilization factor in an infinite slab lattice, are derived using invariant imbedding. An isotropic separable kernel is assumed. It is shown that, though the neutron spectrum is strongly dependent on the shape of the kernel and thus cannot hope to be accurately predicted with a separable kernel, the qualitative behavior is in good agreement with previous computations. Moreover, some other features (the angular dependence of the flux, and the thermal utilization factor) are shown to have less dependence on the thermalization model, and are thus accurately predicted.