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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.
Yasushi Seki and Hiroshi Maekawa
Nuclear Science and Engineering | Volume 66 | Number 2 | May 1978 | Pages 243-251
Technical Note | doi.org/10.13182/NSE78-A27205
Articles are hosted by Taylor and Francis Online.
In a spherical lithium metal assembly with a graphite reflector, the changes in the fission rates of 235U and 238U due to changes in the cross-section sets of the constituent elements of the assembly are calculated. The results are discussed on the basis of experimental data. The fission rate of 235U is found to be most sensitive to changes in the cross-section set of 6Li in the lithium region, while in the graphite reflector, it is most sensitive to that of 12C. The fission rate of 238U is found to be more sensitive to changes in the cross-section sets of the elements in the stainless-steel structure rather than to those of lithium or graphite.
