alexpapados / Physics-Informed-Deep-Learning-Solid-and-Fluid-MechanicsLinks
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
☆176Updated 2 years ago
Alternatives and similar repositories for Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
Users that are interested in Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics are comparing it to the libraries listed below
Sorting:
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆146Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆146Updated last year
- PINN in solving Navier–Stokes equation☆102Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆140Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆228Updated 4 years ago
- PINN program for computational mechanics☆111Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆229Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- A place to share problems solved with SciANN☆278Updated last year
- DeepXDE and PINN☆112Updated 3 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆139Updated 4 months 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 Neural Network (PINN) for the wave equation.☆170Updated 4 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆99Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆68Updated 2 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆78Updated 2 years ago
- ☆165Updated last year
- ☆108Updated 4 months ago
- ☆210Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆66Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆72Updated last year
- ☆345Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆91Updated 3 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆200Updated 5 months ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆70Updated 9 months ago
- ☆70Updated 6 months ago
- This is the code of my master thesis.☆124Updated last month