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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.
I. Angeli, J. Csikai, P. Nagy
Nuclear Science and Engineering | Volume 55 | Number 4 | December 1974 | Pages 418-426
Technical Paper | doi.org/10.13182/NSE74-A23474
Articles are hosted by Taylor and Francis Online.
The predictions of a semiclassical optical model are compared with experimental nonelastic, integrated elastic-, and differential elastic-scattering cross sections at 14 MeV in a wide mass number range. Considering the simplicity of the model, the agreement is fairly satisfactory using a single pre-fixed parameter set; the only modification that had to be performed was the introduction of a mass-number-dependent nuclear radius parameter, r0(A), instead of the constant initial value. The simple analytical expressions are especially useful for quick estimation of unmeasured cross sections.