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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.
R. A. Karam
Nuclear Science and Engineering | Volume 37 | Number 2 | August 1969 | Pages 192-197
Technical Paper | doi.org/10.13182/NSE69-A20678
Articles are hosted by Taylor and Francis Online.
An experimental method for the determination of the normalization integral (denominator of perturbation expression) has been developed and used in three fast assemblies. The procedure consists of measuring the apparent reactivity associated with a calibrated 252Cf neutron source at a known power level. The method is independent of the geometrical configuration of the nuclear reactor. Additionally the spatial distributions of the importance of fission neutrons were measured by observing the rate of the linear increase of the neutron population due to the 252Cf source as a function of position in each fast assembly. The measured values of the normalization integrals (N.I.) as well as the measured distribution of were higher than those obtained with multigroup calculations.