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20232026
most citedPhysics Informed Neural Networks (PINNs) as intelligent computing technique for solving partial differential equations: Limitation and Future prospects

5 citations · 6 across the 4 of their papers we have counts for

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physics.comp-ph2024★ 5 cited

Physics Informed Neural Networks (PINNs) as intelligent computing technique for solving partial differential equations: Limitation and Future prospects

Weiwei Zhang, Wei Suo, Jiahao Song +1

In recent years, Physics-Informed Neural Networks (PINNs) have become a representative method for solving partial differential equations (PDEs) with neural networks. PINNs provide…

physics.comp-ph2024

PINN-MG: A Multigrid-Inspired Hybrid Framework Combining Iterative Method and Physics-Informed Neural Networks

Daiwei Dong, Wei Suo, Jiaqing Kou +1

Iterative methods are widely used for solving partial differential equations (PDEs). However, the difficulty in eliminating global low-frequency errors significantly limits their c…