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DOE OSTI · 1826490

Differentiable Programming: Bridging the gap between numerical models and machine learning models

O'Malley, Daniel
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O'Malley, Daniel. 2021-10-14. Differentiable Programming: Bridging the gap between numerical models and machine learning models. https://www.osti.gov/biblio/1826490

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Neutron capture signatures determined from gadolinium isotope compositions of uranium ore concentrates using MC-ICPMS

We present Gd isotope compositions on 25 well-characterized uranium ore concentrates (UOCs). About half the UOCs have isotope depletions in 157 Gd coupled with anticorrelated excesses in 158 Gd due to neutron capture effects. UOCs from older ore bodies and with higher U contents show larger neutron capture effects than UOCs from younger ore bodies with lower U contents. These Gd data are correlated with their previously measured Sm isotope compositions, and we use the Sm data to estimate the neutron fluence of these samples. In conclusion, this work demonstrates how Gd isotope signatures can be employed as a new tool for nuclear forensics.

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