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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.
C. J. Oblinger, H. A. Dube
Nuclear Science and Engineering | Volume 11 | Number 3 | November 1961 | Pages 263-266
Technical Paper | doi.org/10.13182/NSE61-A26001
Articles are hosted by Taylor and Francis Online.
A diffusion coefficient for hydrogen in ingot uranium was determined at 800°C on 1-in. long slug blanks. A value of 14.2 × 10−5 cm2/sec was obtained from 15 determinations. The precision of the average value at the 95% confidence level was ±3.6%. Three methods of cleaning (preparatory to analysis) were employed, no bias being detected among them. An equation was used to calculate the total gas dissolved in a sample by measuring the gas evolved after a short time and using the diffusion coefficient. In a comparison of the total evolved gas (3-hr extraction) with the calculated total gas (½-hr extraction), an error of < ± 2% was obtained from 15 samples.
