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Physics informed neural networks (PINNs) are deep learning based techniques for solving partial differential equations (PDEs) encounted in computational science and engineering.
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fPINNs: Fractional physics-informed neural networks
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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
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Fractional physical-inform neural networks (fPINNs) for turbulent flows
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Physics-informed neural networks for high-speed flows
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