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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.
J. K. Bair, J. Gomez del Campo
Nuclear Science and Engineering | Volume 71 | Number 1 | July 1979 | Pages 18-28
Technical Paper | doi.org/10.13182/NSE71-18
Articles are hosted by Taylor and Francis Online.
Thick-target (α,n) neutron yields have been measured for 6,7,NATLi, 9Be,10,11,NATB, Pb19F2 and Zn19F2, NATMg, 27Al, NATSi, and 28SiNATO2. From the Pb19F2 and Zn19F2 data, we have extracted the neutron yield that would result from the (α,n) reaction on a thick target of pure fluorine. Using the 28SiNATO2 data, we have extracted the yield that would result from the (α,n) reaction on a thick target of pure NATO2 and the NATO(α,n) cross section at alpha-particle energies above those for which measurements previously existed. In addition, we have remeasured the thin-target oxygen cross section to obtain a correction to the previously measured values. Thick-target yields are calculated from the cross-section values for carbon and oxygen and are compared to the experimental thick-target data. Thick-target yields for 238UNATO2 and for 238UNATC are calculated from the thin-target cross sections. Results are compared to existing experiment and calculations.