Deep learning approach to nuclear fuel transmutation in a fuel cycle simulator

Jin Whan Bae,Andrei Rykhlevskii,Gwendolyn Chee,Kathryn D. Huff

Annals of Nuclear Energy（2020）

引用 20|浏览5

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摘要

•Trained neural network predicts depleted fuel composition accurately and quickly.•The trained neural network predicts used PWR assembly decay heat and activity with less than 5% error.•The trained neural network model can be easily distributed since it provides no information on the original data.

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关键词

Nuclear fuel cycle,Machine learning,Artificial neural network,Simulation,Spent nuclear fuel

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