Jianxun-Wang / phygeonet
PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain
☆84Updated 4 years ago
Alternatives and similar repositories for phygeonet:
Users that are interested in phygeonet are comparing it to the libraries listed below
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- ☆107Updated 3 months 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
- POD-PINN code and manuscript☆51Updated 5 months ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆45Updated 11 months ago
- DeepONet extrapolation☆27Updated last year
- PINN in solving Navier–Stokes equation☆97Updated 4 years ago
- ☆92Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆48Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆89Updated 3 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆23Updated 2 years ago
- ☆135Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆135Updated 3 years ago
- ☆53Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆30Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆74Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆55Updated 2 years ago
- ☆66Updated 5 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆31Updated last year
- Deep Learning of Vortex Induced Vibrations☆93Updated 5 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆147Updated 11 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆141Updated 4 years ago