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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.
Richard A. Riemke
Nuclear Technology | Volume 102 | Number 3 | June 1993 | Pages 416-417
Technical Note | Heat Transfer and Fluid Flow | doi.org/10.13182/NT93-A17039
Articles are hosted by Taylor and Francis Online.
Unal’s subcooled flow boiling bubble model is being used in the best-estimate light water reactor code RELAP5/MOD3. There is a significant discontinuity (by a factor of 2) in the condensation heat transfer coefficient from this model at 1 MPa, which can cause numerical problems in the code. The correlation has been modified (with the approval of Unal) to remove the discontinuity at 1 MPa and to replace it with a form that is continuous to three significant places at 1.1272 MPa.