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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.
Michael J. Gaeta, Bahram Nassersharif
Nuclear Science and Engineering | Volume 113 | Number 1 | January 1993 | Pages 56-69
Technical Paper | doi.org/10.13182/NSE93-A23993
Articles are hosted by Taylor and Francis Online.
The development of a parallel stochastic cellular automata model for neutron transport is presented. The model is derived from neutron physics and is implemented on a 2048 processor singleinstruction multiple-data architecture MasPar computer. Purely absorbing and purely fissioning onedimensional benchmarks are performed against analytical solutions. Favorable results from these two benchmarks motivated the performance of three other test cases. Results for a two-dimensional scattering-absorbing case and a one-dimensional time-dependent case compared fairly well qualitatively with literature results. Also, results from a one-dimensional, two-group case compared somewhat favorably, but the scheme used was deemed not efficient enough without modification.