Accurate segmentation of localized fuel cladding chemical interaction layers in SEM micrographs with deep learning method

Accurate segmentation of localized fuel cladding chemical interaction layers in SEM micrographs with deep learning method

Abstract U-Zr metallic fuels are promising fuel candidates for fast reactor applications. Fuel/cladding chemical interaction (FCCI) is a random, localized, complex interdiffusion phenomenon occurring at the fuel cladding interface under irradiation, thinning the cladding wall. This interaction has b...

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Bibliographic Details
Main Authors: Liang Zhao, Yachun Wang, Fei Xu
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Metallic fuel
Fuel/Cladding chemical interaction
Scanning electron microscopy
Layer segmentation
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-14927-8
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https://doi.org/10.1038/s41598-025-14927-8

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