Review of multi-faceted morphologic signatures of actinide process materials for nuclear forensic science

Particle morphology is an emerging signature that has the potential to identify the processing history of unknown nuclear materials. Using readily available scanning electron microscopes (SEM), the morphology of nearly any solid material can be measured within hours. Coupled with robust image analys...

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Bibliographic Details
Published in:Journal of nuclear materials 2023-10, Vol.588 (N/A)
Main Authors: McDonald IV, Luther W., Sentz, Kari, Hagen, Alex, Chung, Brandon W., Nizinski, Cody A., Schwerdt, Ian J., Hanson, Alexa, Donald, Scott, Clark, Richard, Sjoden, Glenn, Porter, Reid, Athon, Matthew T., Tasdizen, Tolga, Noel, Vincent, Webb, Samuel M., Van Veelen, Arjen, Hickam, Sarah M., Ly, Cuong
Format: Article
Language:English
Subjects:
INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
Machine learning
MATERIALS SCIENCE
Nuclear forensics
Particle morphology
Particle segmentation
Scanning electron microscopy
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Summary:Particle morphology is an emerging signature that has the potential to identify the processing history of unknown nuclear materials. Using readily available scanning electron microscopes (SEM), the morphology of nearly any solid material can be measured within hours. Coupled with robust image analysis and classification methods, the morphological features can be quantified and support identification of the processing history of unknown nuclear materials. The viability of this signature depends on developing databases of morphological features, coupled with a rapid data analysis and accurate classification process. With developed reference methods, datasets, and throughputs, morphological analysis can be applied within days to (i) interdicted bulk nuclear materials (gram to kilogram quantities), and (ii) trace amounts of nuclear materials detected on swipes or environmental samples. In conclusion, this review aims to develop validated and verified analytical strategies for morphological analysis relevant to nuclear forensics.
ISSN:0022-3115