A physics-informed GNN-LSTM framework for prediction of microvoid growth in heterogeneous polycrystals

Engineering Fracture Mechanics 2026

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Authors: Yuqian Wu, Yihang Li, Bangwen He, Jianqiu Liu, Minsheng Huang, Zhenhuan Li

DOI: 10.1016/j.engfracmech.2026.111938

Cited by: 2

References: 65

Fields of Study & Subjects

Machine Learning in Materials Science Model Reduction and Neural Networks Generative Adversarial Networks and Image Synthesis

References 65