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The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
The Neural Tangent Kernel (NTK) viewpoint represents a valuable approach to examine the training dynamics of Physics-Informed Neural Networks (PINNs) in the infinite width limit.
On the Generalization of PINNs outside the training domain and the Hyperparameters influencing it
Physics-Informed Neural Networks (PINNs) are Neural Network architectures trained to emulate solutions of differential equations without the necessity of solution data.
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