Efficient training of physics-informed neural networks via importance sampling

Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani

Physics-Informed Neural Networks (PINNs) are a class of deep neural networks that are trained, using automatic differentiation, to compute the response of systems governed by parti…