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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.
G. P. Marino
Nuclear Science and Engineering | Volume 49 | Number 1 | September 1972 | Pages 93-98
Technical Paper | doi.org/10.13182/NSE72-A22530
Articles are hosted by Taylor and Francis Online.
An analytical method is described which enables one to calculate the concentration profile of an interstitial solute of finite solubility in an alloy under a given thermal gradient. The method requires that one know beforehand the diffusion coefficient, the terminal solid solubility, and the heat of transport of the solute. The work is applied to the experimental conditions of Sawatzky and of Markowitz for hydrogen in Zircaloy. The agreement between the predicted profiles and the experimentally determined profiles is quite good for total concentrations less than ∼1000 ppm. For concentrations greater than this, some deviation is seen but the overall agreement is still considered good within the accuracy of the assumptions employed. The principles embodied in the analysis are easily generalized to include multidimensional thermal and concentration gradients.