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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.
W. P. Stinson, L. C. Schmid, R. E. Heineman
Nuclear Science and Engineering | Volume 7 | Number 5 | May 1960 | Pages 435-441
Technical Paper | doi.org/10.13182/NSE60-A25741
Articles are hosted by Taylor and Francis Online.
Information about effective neutron temperatures has been inferred from measurements of the ratio of the thermal-fission activity of a Pu239 foil to that of a U235 foil. A discussion of the ratios obtained in various assemblies which were placed in the center of a graphite thermal column is presented. The assemblies were made of natural uranium, lead, or graphite. In some cases the assemblies were surrounded by a layer of water. The experiments were conducted at thermal-column temperatures which ranged from 18 to 640°C. The data obtained in the case of the graphite assembly are used as a calibration of the neutron temperature. To within the accuracy of the experiment, the shape of this calibration curve is the same as the shape obtained from the data of C. H. Westcott. The results, for all other cases, indicate for the range of temperatures investigated that the ratio of the thermal-column temperature to the effective neutron temperature in an assembly varies linearly with the temperature of the thermal column.