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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 347-349
Technical Note | doi.org/10.13182/NSE77-A27048
Articles are hosted by Taylor and Francis Online.
A perturbation theory expression has been developed to predict the incremental detector output realized when traces of neutron-absorbing elements are present during prompt fission neutron uranium logging. The most restrictive constraint on the validity of the theory is that changes in the neutron flux caused by the presence of neutron absorbers must be small. Numerical evaluation of the theoretical expression appears feasible for experimental configurations that can be approximated by one-dimensional geometry.