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Qingquan Gao

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Preprint Aug 2026

Efficient Weak-Entropy PINN for Solving Hyperbolic Conservation Laws

In recent years, neural networks have significantly advanced numerical solutions of partial differential equations (PDEs). However, solving PDEs with discontinuous solutions, such as hyperbolic conservation laws, remains challenging for neural network-based methods such as physics-informed neural networks (PINNs). Exis...

Qingquan Gao, Kuang Huang, Xuan Di · 0 citations

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