TamaraGrossmann / FEM-vs-PINNsLinks
☆102Updated last year
Alternatives and similar repositories for FEM-vs-PINNs
Users that are interested in FEM-vs-PINNs are comparing it to the libraries listed below
Sorting:
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆80Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆86Updated 4 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆201Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆143Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆180Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- ☆145Updated 3 years ago
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆106Updated 2 months ago
- ☆97Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- A place to share problems solved with SciANN☆283Updated last year
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆73Updated 3 years ago
- ☆111Updated 5 months ago
- Deep Learning for Reduced Order Modelling☆100Updated 3 years ago
- PINN program for computational mechanics☆116Updated last year
- DeepXDE and PINN☆121Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆149Updated 5 years ago
- ☆68Updated last year
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 5 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Physics Informed Neural Network (PINN) for the wave equation.☆179Updated 5 years ago
- Implementation of PINNs in TensorFlow 2☆79Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆93Updated 3 years ago
- DeepONet extrapolation☆27Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆48Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year