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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.
F. Schmittroth
Nuclear Science and Engineering | Volume 59 | Number 2 | February 1976 | Pages 117-139
Technical Paper | doi.org/10.13182/NSE76-A15684
Articles are hosted by Taylor and Francis Online.
The effect of uncertainties in the basic nuclear data needed in fission-product decay-heat summation calculations is considered. A variety of methods are developed to study the effect of errors in decay energies, half-lives, fission yields, and metastable states. Based on preliminary estimates of the uncertainties in the basic data, these methods show that decay heat for typical reactor exposures can be calculated with an accuracy of 7% or better for cooling times >10 sec. Attention is directed toward thermal fission of 235U, although the more general problem of other fissionable nuclides is considered. For cooling times <1000 sec, the major sources of error are due to uncertainties in the decay energies and fission-product charge distributions. All calculations are based on ENDF/B-IV cross sections.