yizheng-wang / Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINNLinks
This is the code of my master thesis.
☆162Updated 7 months ago
Alternatives and similar repositories for Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN
Users that are interested in Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN are comparing it to the libraries listed below
Sorting:
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆91Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆175Updated last year
- PINN program for computational mechanics☆126Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆255Updated 4 years ago
- DeepXDE and PINN☆136Updated 3 years ago
- PINN in solving Navier–Stokes equation☆114Updated 5 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆121Updated 3 weeks ago
- physics-informed neural network for elastodynamics problem☆151Updated 3 years ago
- ☆170Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆100Updated 3 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆197Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆81Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆22Updated 3 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆53Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆160Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆86Updated last year
- Original implementation of fast PINN optimization with RBA weights☆65Updated 2 months ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆79Updated 4 years ago
- ☆153Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆334Updated 2 years ago
- Physics-Informed Neural Network☆91Updated last year
- Physics-informed neural network for solving fluid dynamics problems☆252Updated 4 years ago
- ☆180Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆150Updated 5 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆368Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆239Updated 3 weeks ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- ☆369Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆81Updated 3 years ago