alexpapados / Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
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
☆171Updated 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
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆138Updated last year
- Physics-informed neural network for solving fluid dynamics problems☆222Updated 4 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆139Updated 4 years ago
- PINN in solving Navier–Stokes equation☆97Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆134Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆77Updated last year
- A place to share problems solved with SciANN☆275Updated last year
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆95Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆220Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆66Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆190Updated 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
- DeepXDE and PINN☆108Updated 2 years ago
- ☆161Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆71Updated 2 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆136Updated 3 months ago
- PINN program for computational mechanics☆106Updated last year
- ☆334Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆88Updated 3 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆70Updated 8 months ago
- ☆200Updated 3 years ago
- ☆38Updated 2 years ago
- ☆38Updated 2 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆163Updated 4 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- Physics-informed neural networks for two-phase flow problems☆55Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆147Updated 11 months ago
- ☆107Updated 2 months ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆48Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆66Updated 3 years ago