DikovAlexandr / PINNLinks
PINN (Physics-Informed Neural Networks) for the 2D heat equation
☆11Updated last year
Alternatives and similar repositories for PINN
Users that are interested in PINN are comparing it to the libraries listed below
Sorting:
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆15Updated 10 months ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆37Updated 9 months ago
- This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing t…☆11Updated 11 months ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆36Updated 2 years ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆8Updated 2 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
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆23Updated 6 months ago
- DeepXDE and PINN☆112Updated 3 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆78Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆32Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆69Updated 2 years ago
- Physics-Informed Neural Network☆84Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆146Updated last year
- PINN program for computational mechanics☆112Updated last year
- 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
- PINN in solving Navier–Stokes equation☆102Updated 5 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆72Updated last year
- Physics informed neural network (PINN) for the 1D Heat equation☆18Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- This Python script solves the Navier-Stokes equations using Physics-Informed Neural Network. This approach enables the modeling of fluid …☆14Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm☆31Updated 2 years ago
- ☆42Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- ☆125Updated 2 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago