fsahli / Delta-PINNsLinks
☆43Updated last month
Alternatives and similar repositories for Delta-PINNs
Users that are interested in Delta-PINNs are comparing it to the libraries listed below
Sorting:
- PINN for obtaining WSS from sparse data☆67Updated last year
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- Physics-informed radial basis network☆32Updated last year
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 3 weeks ago
- MIONet: Learning multiple-input operators via tensor product☆38Updated 2 years ago
- Separabale Physics-Informed DeepONets in JAX☆12Updated 10 months ago
- ☆112Updated 8 months ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆91Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- Physics-guided neural network framework for elastic plates☆46Updated 3 years ago
- ☆54Updated 3 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆67Updated 4 months ago
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆116Updated 2 months ago
- ☆29Updated 9 months ago
- POD-PINN code and manuscript☆53Updated 11 months ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆25Updated 3 months ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- PDE Preserved Neural Network☆56Updated 4 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆42Updated 2 years ago
- A GNN-based PDE solver without pre-computed data☆36Updated 4 months ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆98Updated 3 years ago
- Modified Meshgraphnets with more features☆54Updated 8 months ago
- ☆41Updated 3 years ago
- Data preprocess method on Physics-informed neural networks☆21Updated 7 months ago
- Original implementation of fast PINN optimization with RBA weights☆60Updated last month