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Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems.

, , , and . CoRR, (2021)

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On the Convergence and generalization of Physics Informed Neural Networks., , and . CoRR, (2020)Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations., , and . SIAM J. Sci. Comput., 42 (1): A292-A317 (2020)Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging., , and . CoRR, (2020)Continuum- and particle-based modeling of shapes and dynamics of red blood cells in health and disease, , and . Soft Matter, 9 (1): 28-37 (2013)AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope images., , , , , , , and . CoRR, (2021)Parallel Physics-Informed Neural Networks via Domain Decomposition., , and . CoRR, (2021)DeepOnet Based Preconditioning Strategies For Solving Parametric Linear Systems of Equations., and . CoRR, (2024)Meta-learning PINN loss functions., , and . J. Comput. Phys., (2022)Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems., , , and . CoRR, (2021)Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates., , and . CoRR, (2021)