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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.
James H. Renken
Nuclear Science and Engineering | Volume 63 | Number 3 | July 1977 | Pages 330-335
Technical Paper | doi.org/10.13182/NSE77-A27044
Articles are hosted by Taylor and Francis Online.
The operation of pulsed-neutron uranium logging systems is clarified through the derivation of a theoretical expression that shows the relative detector output attributable to rock at different distances from the detector. The results of numerical neutron transport calculations are used to evaluate this expression. Although the theory considered here is applicable to several nuclear logging methods, we restrict our attention to an examination of the prompt fission neutron method. Results show that, depending on the water content of the rock matrix, significant contributions to the detector output are caused by ore-bearing rock as far as 0.3 to 0.5 m from the detector.