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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.
Melvin M. Levine
Nuclear Science and Engineering | Volume 44 | Number 3 | June 1971 | Pages 372-375
Technical Paper | doi.org/10.13182/NSE71-A20167
Articles are hosted by Taylor and Francis Online.
A new method is presented for analyzing reaction rate measurements to obtain cross sections. In the usual approach, a complete forward or slowing down calculation is required for each beam energy at which the reaction rate is to be obtained. The approach here uses an adjoint formulation, yielding reaction rate vs energy in a single pass, making the analysis easier to perform and the physical process more transparent. The accuracy of the approximations involved in the present approach is tested in two cases by comparison with rigorous Monte Carlo results. For certain conditions of sample thickness and cross section as shown in this paper, the usual trial and error procedure for finding cross sections that fit the measured reaction rates can be avoided. It is then possible to invert the reaction rates directly into cross sections. A test case is described in which this direct inversion process proved to be stable and accurate.