Physics Informed Machine Learning

Physics Informed Neural Networks

On the Convergence and generalization of Physics Informed Neural Networks - Shin et al., 2020. Physics informed neural networks (PINNs) are deep learning based techniques for solving partial differential equations (PDEs). Guided by data and physical laws, PINNs find a neural network that approximates the solution to a system of PDEs. Such a neural network is obtained by minimizing a loss function in which any prior knowledge of PDEs and data are encoded.