Modeling of zirconium alloy cladding corrosion behavior based on neural ordinary differential equation

Current zirconium alloy cladding corrosion models are mainly semi-empirical and show significant dispersion when compared to measured data. This study introduces neural ordinary differential equation (neural ODE) to model corrosion behavior, utilizing data-model fusion approach for network training....

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Bibliographic Details

Published in:	Nuclear Engineering and Technology
Main Authors:	Tao Zhang, Yongjun Jiao, Zhenhai Liu, Shuo Xing, Haoyu Wang, Kun Zhang, Yuanming Li
Format:	Article
Language:	English
Published:	Elsevier 2025-03-01
Subjects:	Cladding corrosion model Differential evolution algorithm Neural ordinary differential equation Data-model fusion driven
Online Access:	http://www.sciencedirect.com/science/article/pii/S1738573324005011