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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. Travis, C. W. Hirt, W. C. Rivard
Nuclear Science and Engineering | Volume 68 | Number 3 | December 1978 | Pages 338-348
Technical Paper | doi.org/10.13182/NSE78-A27310
Articles are hosted by Taylor and Francis Online.
Recent studies have shown that available theoretical models for critical two-phase flows in simple nozzles are not able to predict observed data. To achieve agreement, it is customary to multiply the computed mass flow rates by empirically determined factors. In this paper, a two-dimensional theory is used to show that the deficiencies are associated with geometric effects not accounted for in the earlier models. The theory presented here is applied to both equilibrium and nonequilibrium situations with considerable success and supplies a rational basis for the use of break flow multipliers.