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Conference Spotlight
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.
M. Dion, G. Marleau
Nuclear Science and Engineering | Volume 179 | Number 2 | February 2015 | Pages 186-198
Technical Paper | doi.org/10.13182/NSE13-90
Articles are hosted by Taylor and Francis Online.
A method is proposed to evaluate implicit sensitivity coefficients for several types of reactor lattices, including pressurized water reactors and CANDU (CANada Deuterium Uranium) reactors, with different resonant and light isotope contents. The implicit sensitivity of the multiplication factor, resulting from a variation of an isotope density through the self-shielded cross sections, is computed for different cases. The precision of the method, the importance of the implicit coefficients with respect to the total sensitivity, and the contributions of all the isotopes are discussed and compared for the different systems. We also show how to compute the sensitivity coefficients in the unresolved energy groups, where the details of the resonances are not known. An equivalent dilution model is used for the self-shielding calculations. Complete transport calculations, using a collision probability method, are also used to compute reference values for the implicit sensitivities.