Universal differential equations for scientific machine learning C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ... arXiv preprint arXiv:2001.04385, 2020 | 807 | 2020 |
Neuralpde: Automating physics-informed neural networks (pinns) with error approximations K Zubov, Z McCarthy, Y Ma, F Calisto, V Pagliarino, S Azeglio, L Bottero, ... arXiv preprint arXiv:2107.09443, 2021 | 108 | 2021 |
Universal differential equations for scientific machine learning. arXiv C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ... arXiv preprint arXiv:2001.04385, 2020 | 32 | 2020 |
Universal differential equations for scientific machine learning. arXiv 2020 C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ... arXiv preprint arXiv:2001.04385, 2001 | 25 | 2001 |
Universal differential equations for scientific machine learning. ArXiv preprint abs/2001.04385 (2020) C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ... | 13 | 2001 |
Universal differential equations for scientific machine learning. arXiv [Preprint](2020) C Rackauckas, Y Ma, J Martensen, C Warner, K Zubov, R Supekar, ... arXiv preprint arXiv:2001.04385, 2001 | 10 | 2001 |
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations (2021) K Zubov, Z McCarthy, Y Ma, F Calisto, V Pagliarino, S Azeglio, L Bottero, ... arXiv preprint arXiv:2107.09443, 0 | 9 | |