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Conference Spotlight
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.
Bal Raj Sehgal
Nuclear Science and Engineering | Volume 34 | Number 3 | December 1968 | Pages 251-262
Technical Paper | doi.org/10.13182/NSE68-A21090
Articles are hosted by Taylor and Francis Online.
Analysis of the nearly homogeneous enriched uranium-graphite critical assemblies described in the preceding paper by Phelps and Weinstock are reported in this paper. These assemblies are characterized mainly by their high leakage rate, and two methods are used for estimating the leakage: 1) the conventional B1 approximation method and 2) the moments method using Monte Carlo calculations for the moments of the slowing down distribution. It is found that the B1 approximation describes the leakage effects quite accurately. Most of the cross sections used in the calculations are from the recent evaluated nuclear data file (ENDF/B). Results of calculations for keff, neutron lifetimes, and foil activation ratios are generally in excellent agreement with the measurements.