FO-PINNs: A First-Order formulation for Physics Informed Neural Networks

25 October 2022

Papers citing "FO-PINNs: A First-Order formulation for Physics Informed Neural Networks"

3 / 3 papers shown

Title
Physics-based Deep Learning Nils Thuerey Philipp Holl P. Holl Patrick Schnell Felix Trost Kiwon Um P. Schnell F. Trost PINN AI4CE 48 89 0 11 Sep 2021
Efficient training of physics-informed neural networks via importance sampling M. A. Nabian R. J. Gladstone Hadi Meidani DiffM PINN 63 218 0 26 Apr 2021
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 170 616 0 13 Mar 2020