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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.
J. R. Beeler
Nuclear Science and Engineering | Volume 14 | Number 3 | November 1962 | Pages 254-265
doi.org/10.13182/NSE62-A26215
Articles are hosted by Taylor and Francis Online.
Monte Carlo computational experiments were used to study the diffusion anisotropy of fast and slow neutrons in singly- and doubly-periodic, two-region reactor lattices. In two-region systems, it is shown that the separation of the anisotropy factor into a part representing mean free path discontinuity and a part representing absorption probability discontinuity is physically meaningful. In the singly-periodic lattice, the anisotropy factor for fast neutrons was greater than unity, while that for slow neutrons was less than unity. It is possible, however, for the slow neutron anisotropy factor to exceed unity in doubly-periodic lattices. The anisotropy extreme, in the singly-periodic lattice, occurred when the albedo of the moderator slab was equal to that of the fuel slab.