Comparative Morphological Signatures of Strike Ordered Uranium Oxides for Nuclear Forensics.

ABSTRACT: Nuclear forensics remains critical in addressing threats associated with the illicit and malicious use of radioactive materials, necessitating continuous advancements in the characterization of uranium ore concentrates (UOCs). In this study, we investigate the influence of precipitation strike order on the morphological features of U₃O₈ derived from four synthetic routes: ammonium uranyl carbonate (AUC), ammonium diuranate (ADU), uranyl peroxide (UO₄), and magnesium diuranate (MDU). Machine learning classification was performed to differentiate between the synthetic route and strike order, capturing subtle variations in product morphology. Morphological signatures of scanning electron microscopy (SEM) images were analyzed using a convolutional neural networ

SUBMITTER: Meigs NJ 

PROVIDER: S-EPMC12573007 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature