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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.
Y. Boneh, S. Goshen, Z. Karpas, O. Shahal, A. Wolf
Nuclear Science and Engineering | Volume 86 | Number 1 | January 1984 | Pages 106-109
Technical Note | doi.org/10.13182/NSE84-A17973
Articles are hosted by Taylor and Francis Online.
The neutron yields from several uranium compounds were measured, using a 3He detector. The results are compared to calculations based on the known “stopping power” for alpha particles and the thick target yield for (α, n) reactions of fluorine and oxygen. Good agreement is obtained between the calculated and measured results. It is thus argued that the method of calculation used can be confidently applied to predict the neutron yield of compounds containing alpha-emitting atoms and (α, n) productive elements. The possibility of online detection of impurities, such as UO3 or UO2F2 in UF4, in the production of uranium fuel rods is discussed.