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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.
S. L. Liew, L. P. Ku
Fusion Science and Technology | Volume 19 | Number 3 | May 1991 | Pages 1853-1858
Neutronic | Proceedings of the Ninth Topical Meeting on the Technology of Fusion Energy (Oak Brook, Illinois, October 7-11, 1990) | doi.org/10.13182/FST91-A29613
Articles are hosted by Taylor and Francis Online.
In the Compact Ignition Tokamak (CIT), significant nuclear heating results from the neutron and γ interactions in structural components near the plasma and it affects their thermo-mechanical behaviors. Approximate nuclear heating distributions have previously been obtained with 2-D discrete ordinate models1 and a simple formulation based on 3-D ray-tracing and 1-D discrete ordinate models2. To reduce the geometric uncertainties in these calculations, we have constructed a set of detail 3-D Monte Carlo models for rigorous calculations. The results obtained from these models are used as benchmarks to evaluate the accuracy and relative merits of the simpler models.