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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.
H. L. Pai, D. G. Andrews
Nuclear Science and Engineering | Volume 76 | Number 3 | December 1980 | Pages 323-330
Technical Paper | doi.org/10.13182/NSE80-A21322
Articles are hosted by Taylor and Francis Online.
The simple statistical model statement relating the yield YP of fission fragments to the effective neutron binding energy , namely YP α exp(−/T), can be used as a basis for parallel developments, one leading to the well-known empirical delayed-neutron statement where Y is the number of delayed neutrons per fission. Repeating the development for prompt neutron emission leads to the analogous result where is the prompt neutrons per fission. This semi-empirical result implies that a semi-logarithmic experimental plot of against (3Z - A) should be a family of straight lines. Currently available experimental results justify this prediction. The theoretical precision of this semi-empirical formula is estimated to be ±10% or better, depending mainly on the part and shape of the fission yield-mass curve taken into account. The existence of the above empirical and semi-empirical formulas strongly suggests that the yield of fission neutrons, as well as their spectrum, can be calculated by using the standard statistical model with non-adjustable parameters.