VC-PINN: variable coefficient physics-informed neural network for forward and inverse problems of PDEs with variable coefficient
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Publication:6069931
DOI10.1016/j.physd.2023.133945zbMath1527.35500arXiv2305.07479MaRDI QIDQ6069931
Publication date: 17 November 2023
Published in: Physica D (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2305.07479
Inverse problems for PDEs (35R30) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)
Related Items (2)
Parallel physics-informed neural networks method with regularization strategies for the forward-inverse problems of the variable coefficient modified KdV equation ⋮ Gradient-enhanced physics-informed neural networks based on transfer learning for inverse problems of the variable coefficient differential equations
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