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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.
A. F. Henry, S. Kaplan
Nuclear Science and Engineering | Volume 22 | Number 4 | August 1965 | Pages 479-486
Technical Paper | doi.org/10.13182/NSE65-A20635
Articles are hosted by Taylor and Francis Online.
By expressing the fluxes associated with a range of experimental period measurements as linear combinations of several trial functions, a generalization of the inhour formula relating measured periods to linear functionals of the perturbation is obtained. The formula is applied to finding the fast periods and values of keff associated with the early stages of super-prompt critical-burst experiments or pulsed die-away experiments. By appropriate choice of trial functions, the formula may be rearranged so that it relates period to a single reactivity-like quantity and other small corrections. Since this quantity is a linear functional, values of it corresponding to different perturbations are additive, even when the over-all flux shapes associated with these perturbations differ. When two trial functions alone are sufficient for a range of experiments, further rearrangement results in a relationship that has the form of the so-called seven-group inhour equation.