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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.
H. Schaal, W. Bernnat
Nuclear Science and Engineering | Volume 97 | Number 2 | October 1987 | Pages 161-173
Technical Paper | doi.org/10.13182/NSE87-A27462
Articles are hosted by Taylor and Francis Online.
For calculations of high-temperature gas-cooled reactors with low-enrichment fuel, it is important to know the plutonium cross sections accurately. Therefore, a calculational method was developed, by which the plutonium cross-section data of the ENDF/B-IV library can be examined. This method uses zero- and one-dimensional neutron transport calculations to collapse the basic data into one-group cross sections, which then can be compared with experimental values obtained from integral tests. For comparison the data from the critical experiment CESAR-II of the Centre d’Etudes Nucléaires, Cadarache, France, were utilized. In this experiment samples with different plutonium concentrations and different mixtures of the plutonium isotopes were oscillated inside the core at different temperatures between 20 and 360°C. The simulation of this experiment through the calculational model developed in the present study showed that the ENDF/B-IV data for plutonium are reasonable.