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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.
George I. Bell, W. A. Anderson, D. Galbraith
Nuclear Science and Engineering | Volume 16 | Number 1 | May 1963 | Pages 118-123
Technical Paper | doi.org/10.13182/NSE63-2
Articles are hosted by Taylor and Francis Online.
A numerical program is described for calculating the probability distribution of neutrons or delayed neutron precursors in a multiplying assembly. The program obtains the probability distribution generating function, from which the distribution itself is found by inversion of a Laplace transform. Six groups of delayed neutrons may be used. The prompt neutron lifetime is arbitrary and neutron source and reactivity may be functions of time. The existence of an asymptotic probability distribution at late times is proved for constant reactivity. Six group results are shown to be in good agreement with experimental data from Godiva.