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- W2896077094 abstract "Monte Carlo calculations and artificial intelligence prediction techniques were executed to estimate the uranium content of the isotope U-235 of uranium oxide (U3O8) standards. Five uranium oxide (U3O8) standards with different enrichments were used in this study. The count rate was measured experimentally using Hyper-Pure Germanium detector (HPGe) and MCNP-5 Monte Carlo transport code to estimate 235U mass of standard nuclear materials. The acquired results were compared with declared values. Finally, Artificial Neural Network (ANN) simulation was used to get the results of count rate and U-235 mass. The results were matched with the experiment within an accuracy of less than 2%." @default.
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- W2896077094 date "2019-02-01" @default.
- W2896077094 modified "2023-10-01" @default.
- W2896077094 title "Applying Monte Carlo and artificial intelligence techniques for 235U mass prediction in samples with different enrichments" @default.
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- W2896077094 doi "https://doi.org/10.1016/j.nima.2018.10.008" @default.
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