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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. Dierckx, A. Marchal, A. van Wauwe
Nuclear Technology | Volume 3 | Number 9 | September 1967 | Pages 532-539
Technical Paper and Note | doi.org/10.13182/NT67-A27934
Articles are hosted by Taylor and Francis Online.
The use of a direct reactivity meter for control-rod calibration was studied. The reactor model was simplified by reducing the number of delayed-neutron and photoneutron groups from 15 to 6, and by putting dn/dt equal to zero, without greatly affecting the accuracy of the reactivity measurements. The influence of errors in the knowledge of the parameters of the remaining six delayed-neutron groups was studied. Measurements were made on two reactors: ECO, a cold reactor; and ISPRA-I, a reactor with a strong long-lived photoneutron source. The measurements performed with the direct reactivity meter were compared to normal rod-drop measurement techniques and period measurement techniques, and were found to agree in general to ±2%. The long-lived source term, which depends on the reactor operation history, was found to a precision of better than ±1%.