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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.
J. R. Hofmann, C. C. Meek
Nuclear Science and Engineering | Volume 64 | Number 3 | November 1977 | Pages 713-723
Technical Paper | doi.org/10.13182/NSE77-A27100
Articles are hosted by Taylor and Francis Online.
A model employing Darcy's law has been developed to describe the transient pressure field within interconnected porosity of mixed-oxide liquid-metal fast breeder reactor fuel during hypothetical reactor accidents. Pressure increases are due both to fission gas released from fuel grains and fill gas originally present within fuel pores. Calculations utilizing the model have been performed for an out-of-pile test prior to fuel melting with both clad and unclad conditions being treated. Redistribution of gas from the source region in the relatively high-porosity unrestructured fuel to a low-porosity restructured fuel was shown to exist in all cases considered. Even for the unclad case, significant internal pressurization was predicted by the model, which could prove important in subsequent fuel breakp and motion.