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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.
P. J. Peterson and M. M. Thorpe
Nuclear Science and Engineering | Volume 29 | Number 3 | September 1967 | Pages 425-431
Technical Paper | doi.org/10.13182/NSE67-A17291
Articles are hosted by Taylor and Francis Online.
Measurements of the rate of uranium atom emission from a fissioning surface were made on uranium and uranium oxide sources. A technique was employed in which the sources could be maintained in vacuuo at all times during the experiments. It was found that at the start of an experiment the rate of emission was high, but declined with increasing reactor exposure to a low constant value of ≈6 uranium atoms ejected per fission fragment penetrating the surface for the metal and ≈38 for the oxide. Exposure of a uranium metal source to moist helium, after a constant emission rate was achieved, led to a suddenly increased rate that tended to return to that obtaining before treatment.