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Jing-Zhong Guo

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Open access Sep 2026

Mechanism-Based Insights and Ablation Study of Multi-Constraint Strategies for Physics-Informed Neural Networks in Shock-Dominated Dam-Break Flows

Physics-informed neural networks (PINNs) provide mesh-free approximation and rapid inference for dam-break flood simulations. However, the effectiveness and underlying mechanisms of different enhancement strategies for engineering-representative shock-dominated flows remain insufficiently understood. To address this is...

Ying-Ying Jiang, Xue-Dong Qin, Jing-Zhong Guo et al. · 0 citations

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