fsahli / Delta-PINNsLinks
☆41Updated 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:
- Physics-informed radial basis network☆32Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆43Updated last year
- PINN for obtaining WSS from sparse data☆67Updated last year
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- ☆112Updated 7 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated this week
- ☆34Updated 4 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- Modified Meshgraphnets with more features☆54Updated 7 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆32Updated 3 years ago
- Separabale Physics-Informed DeepONets in JAX☆10Updated 9 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 8 months ago
- PDE Preserved Neural Network☆55Updated 4 months ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆20Updated last year
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆46Updated 3 years ago
- POD-PINN code and manuscript☆53Updated 10 months 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
- Original implementation of fast PINN optimization with RBA weights☆59Updated last week
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆82Updated 3 weeks ago
- Encoding physics to learn reaction-diffusion processes☆103Updated 2 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆21Updated 2 years ago