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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.
T. J. Downar, H. Khalil
Nuclear Science and Engineering | Volume 109 | Number 3 | November 1991 | Pages 278-296
Technical Paper | doi.org/10.13182/NSE91-A23853
Articles are hosted by Taylor and Francis Online.
The uncertainty in the burnup reactivity swing δkb attributable to nuclear data uncertainties is analyzed using depletion-dependent sensitivity coefficients for single- and multicycle equilibrium depletion. Four systems are analyzed with design features that encompass many of the design options considered for current U.S. advanced liquid-metal reactor cores. These systems, while characterized by very different δkb values in the range from —0.22 to 3.87% Δk, exhibit much smaller differences in their δkb uncertainties, which range from 0.18 to 0.33% Δk. The δkb uncertainties depend primarily on the design choices of core size and fissile fuel type, as well as whether the analysis represents multicycle effects. For all reactors analyzed, the burnup swing uncertainty is dominated by the 238U capture reaction. The potential for reducing uncertainties by a factor of 3 by use of available integral experiment results is also demonstrated.