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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.
S. S. Glickstein, J. W. Beck, L. L. Wheat, W. J. Hall
Nuclear Science and Engineering | Volume 30 | Number 1 | October 1967 | Pages 137-143
Technical Paper | doi.org/10.13182/NSE67-A17250
Articles are hosted by Taylor and Francis Online.
Fast advantage factor measurements and calculations have been performed in a single module seed blanket assembly containing a ThO2 blanket and a highly enriched uranium seed. Large variations were noted in the advantage factors, which were attributed to leakage effects due to the narrow seed region and the varying fast-neutron source distribution through the core. One-group, two- dimensional Monte Carlo calculations with the MARC program approximating the explicit core geometry are in agreement with the measured results. Calculations were also performed applying the principles of superposition and reciprocity to illustrate the dependence of the fast advantage factor on neutrons originating from various sections of a core.