helonayala / pinn
codes for PINNs
☆11Updated 3 years ago
Related projects: ⓘ
- Basic implementation of physics-informed neural network with pytorch.☆40Updated last year
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆14Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆24Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆46Updated 3 years ago
- POD-PINN code and manuscript☆44Updated 3 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆42Updated 3 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆54Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆15Updated 2 years ago
- Burgers equation solved by PINN in PyTorch☆17Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆48Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆67Updated last year
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆37Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆94Updated 5 months ago
- DeepXDE and PINN☆72Updated 2 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆15Updated 9 months ago
- XPINN code written in TensorFlow 2☆25Updated last year
- Physics Informed Neural Network (PINN) for the wave equation.☆110Updated 4 years ago
- Physics-guided neural network framework for elastic plates☆29Updated 2 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆52Updated 2 years ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 4 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆33Updated 3 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆57Updated last month
- Physics Informed Neural Networks☆20Updated 4 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆22Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆76Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆42Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆118Updated 4 months ago
- An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave eq…☆21Updated 2 years ago
- ☆47Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆40Updated 3 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆53Updated 5 months ago