Raocp / PINN-elastodynamicsLinks
physics-informed neural network for elastodynamics problem
☆142Updated 3 years ago
Alternatives and similar repositories for PINN-elastodynamics
Users that are interested in PINN-elastodynamics are comparing it to the libraries listed below
Sorting:
- PINN program for computational mechanics☆114Updated last year
- PINN in solving Navier–Stokes equation☆105Updated 5 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆79Updated 2 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆146Updated last year
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆178Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆148Updated 4 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- A place to share problems solved with SciANN☆281Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 2 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆175Updated 4 years ago
- Physics-informed neural networks for two-phase flow problems☆63Updated last month
- Physics-informed neural network for solving fluid dynamics problems☆229Updated 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 (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- DeepXDE and PINN☆114Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆79Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- 2D wave equation simulated by PINN and FDM☆10Updated 3 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆92Updated 3 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆67Updated 3 years ago
- ☆109Updated 4 months ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆49Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆103Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆197Updated 2 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆70Updated 10 months ago
- This is the code of my master thesis.☆129Updated 2 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆232Updated 3 years ago