ucl-bug / helmnetLinks
Deep-learning iterative solver for the heterogeneous 2D Helmholtz equation
☆32Updated 2 years ago
Alternatives and similar repositories for helmnet
Users that are interested in helmnet are comparing it to the libraries listed below
Sorting:
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆106Updated 2 months ago
- Solving wave problems using FEniCS-X☆21Updated 3 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆27Updated 8 months ago
- ☆42Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 3 months ago
- Code for "Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions"☆16Updated 3 years ago
- ☆14Updated last year
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆84Updated 4 years ago
- Generator of 2D gaussian random fields☆50Updated 3 years ago
- ☆26Updated last year
- ☆14Updated 3 years ago
- ☆12Updated last year
- Code for training and inferring acoustic wave propagation in 3D☆37Updated 7 months ago
- ☆12Updated last year
- Physics Constrained Neural Networks☆12Updated 2 years ago
- DeepONet extrapolation☆27Updated 2 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆30Updated 9 months ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Updated last year
- Geometric Inverse Problem using Parametric Level-Set☆18Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆63Updated 2 months ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆80Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Distributed Fourier Neural Operators☆30Updated 2 years ago
- ☆38Updated last year
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- ☆97Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆137Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- Fourier-DeepONet for FWI☆24Updated last year