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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.
J. El Asri, O. El Bounagui, N. Tahiri, H. Erramli, A. Chetaine
Nuclear Technology | Volume 205 | Number 9 | September 2019 | Pages 1236-1244
Technical Paper | doi.org/10.1080/00295450.2019.1590071
Articles are hosted by Taylor and Francis Online.
The stopping power of Formvar and Mylar polymeric materials for energy region (0.1 to 1.0) MeV/nucleon 19F, 23Na, 24Mg, 27Al, 28Si, 31P, 32S, 35Cl, and 40Ar ions have been determined. The energy loss and stopping power of Mylar were calculated for 11B having energies between 0.31 and 0.85 MeV/nucleon. In fact, the factor ξe and exponential function f(E) involved in Lindhard, Scharff, and Schiott (LSS) theory has been modified in light of the available simulation electronic stopping power values. The results obtained by the LSS modified theory and Monte Carlo simulations are compared with MSTAR, the SRIM predictions code, and experimental data. The obtained results show a close agreement qualitatively with MSTAR, experimental data, and those generated by the SRIM computer code.