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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.
Jorge Molina Avila, Maria Do Carmo Lopes
Nuclear Science and Engineering | Volume 96 | Number 4 | August 1987 | Pages 310-317
Technical Paper | doi.org/10.13182/NSE87-A16394
Articles are hosted by Taylor and Francis Online.
A previously developed formalism is applied to calculate the sensitivity of cobalt prompt response self-powered neutron detectors. Differential and average sensitivities in thermal and epithermal energy regions are calculated, and their dependence on the geometrical factors is studied. A simple analytical expression is proposed for the first-collision absorption probability, which is a good approximation to the exact function. This expression is used to obtain the epithermal selfshielding factor as a function of the radius of the emitter and the parameters of the interaction. The thermal sensitivity, as the main contributor to the current, is studied as a function of the emitter radius. Finally, a criterion to evaluate the accuracy of the parameters of the model is established in the form of some interval rule. This interval rule should encourage the performance of better measurements and calculations.