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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.
W. L. Chen
Nuclear Technology | Volume 25 | Number 3 | March 1975 | Pages 471-476
Technical Paper | Reactor | doi.org/10.13182/NT75-A24385
Articles are hosted by Taylor and Francis Online.
A simple method has been developed for calculation of transient heat losses that occur as a hot fluid produced during a liquid-metal fast breeder reactor hypothetical core-disruptive accident expands through the fission-gas plenum region. The heat-conduction equation of the plenum cladding is formally solved by the Laplace transform for a time-dependent cladding surface temperature, and the resulting solution is numerically evaluated using an integration method based on the trapezoidal rule. The expanding hot fluid may be a two-phase mixture of sodium produced by a fuel-coolant interaction or a two-phase mixture of fuel produced by a severe nuclear excursion. Illustrative calculations have been performed considering a hypothetical fuel-coolant interaction in the Fast Flux Test Facility core.