cics-nd / ar-pde-cnn
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
☆92Updated 2 years ago
Alternatives and similar repositories for ar-pde-cnn:
Users that are interested in ar-pde-cnn are comparing it to the libraries listed below
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆77Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆87Updated last year
- ☆92Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- POD-PINN code and manuscript☆51Updated 5 months ago
- ☆62Updated 5 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆50Updated 3 months ago
- ☆134Updated 2 years ago
- ☆53Updated 2 years ago
- Deep Learning of Vortex Induced Vibrations☆93Updated 5 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆44Updated 11 months ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆58Updated 4 years ago
- ☆107Updated 2 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- ☆24Updated 3 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 weeks ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆38Updated 4 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- Multifidelity DeepONet☆31Updated last year
- DAFI: Ensemble based data assimilation and field inversion, repository for internal development☆55Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆23Updated last year
- DeepONet extrapolation☆27Updated last year
- Turbulent flow network source code☆68Updated last month
- Implementation of the Deep Ritz method and the Deep Galerkin method☆55Updated 4 years ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆88Updated 3 years ago