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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.
D. J. Brenner, R. E. Prael
Nuclear Science and Engineering | Volume 88 | Number 1 | September 1984 | Pages 97-101
Technical Note | doi.org/10.13182/NSE84-A17144
Articles are hosted by Taylor and Francis Online.
The results of an experiment to measure the 12C(n,n′)3α reaction in nuclear emulsions up to 35 MeV were reanalyzed, with various corrections made using a previously validated nuclear reaction model. Corrections of up to 27% to the published data were obtained, and the corrected results, suggested as an evaluated set of cross sections, are in agreement with low-energy time-of-flight data and also with the predictions of the nuclear reaction model. Corresponding experimental data at 50 MeV also exist; however, they are considered unreliable and calculated data are recommended above 35 MeV.