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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.
H. C. Hardee, R. H. Nilson
Nuclear Science and Engineering | Volume 63 | Number 2 | June 1977 | Pages 119-132
Technical Paper | doi.org/10.13182/NSE77-A27015
Articles are hosted by Taylor and Francis Online.
The heat transfer characteristics of a fluid-saturated porous media are investigated for the case of uniform internal heat generation with cooling from above. Analytical models of conduction and single-phase cellular convection show good agreement with previous Rayleigh number correlations and with experimental data obtained by Joule heating of saltwater in a sand bed. An approximate dryout criterion is also derived for two-phase boiling heat transfer in a fixed bed which is neither channeled nor fluidized. Correlation of dryout data using this criterion is encouraging, especially considering the analytical rather than correlational basis of the criterion.