TamaraGrossmann / FEM-vs-PINNsLinks
☆103Updated 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:
- physics-informed neural network for elastodynamics problem☆140Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆78Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆78Updated 2 years ago
- DeepXDE and PINN☆112Updated 3 years ago
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆105Updated last month
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆176Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆99Updated 2 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆193Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- ☆97Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆146Updated 4 years ago
- PINN program for computational mechanics☆112Updated last year
- Original implementation of fast PINN optimization with RBA weights☆54Updated last month
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- gPINN: Gradient-enhanced physics-informed neural networks☆91Updated 3 years ago
- PINN in solving Navier–Stokes equation☆102Updated 5 years ago
- ☆67Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆229Updated 3 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆55Updated 5 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆170Updated 4 years ago
- ☆141Updated 2 years ago
- POD-PINN code and manuscript☆51Updated 6 months ago
- ☆108Updated 4 months ago