Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations

15 July 2024

Papers citing "Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations"

4 / 4 papers shown

Title
Efficient PINNs: Multi-Head Unimodular Regularization of the Solutions Space Pedro Tarancón-Álvarez Pablo Tejerina-Pérez Raul Jimenez P. Protopapas AI4CE PINN 39 0 0 21 Jan 2025
Physics and Equality Constrained Artificial Neural Networks: Application to Forward and Inverse Problems with Multi-fidelity Data Fusion S. Basir Inanc Senocak PINN AI4CE 34 68 0 30 Sep 2021
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 494 0 09 Feb 2021
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sifan Wang Hanwen Wang P. Perdikaris 131 438 0 18 Dec 2020