shi-tong / Transfer-learning-based-PINNLinks
This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue laser-directed energy deposition"
☆22Updated last year
Alternatives and similar repositories for Transfer-learning-based-PINN
Users that are interested in Transfer-learning-based-PINN are comparing it to the libraries listed below
Sorting:
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆29Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆39Updated 3 years ago
- PINN (Physics-Informed Neural Networks) for the 2D heat equation☆15Updated this week
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- Physics Informed Neural Network for solving 3D transient heat transfer☆14Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆85Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆11Updated 2 years ago
- Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with long sho…☆39Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆79Updated 4 years ago
- 复现CICP论文提出的几种改进PINN性能的方法☆22Updated 4 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆33Updated 3 years ago
- ☆19Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆22Updated 3 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆38Updated 3 years ago
- ☆42Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆97Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆49Updated 4 months ago
- Physics-Informed Neural Network☆91Updated last year
- Physics-informed deep learning for structural dynamics under moving load☆18Updated last year
- A convolutional neural network for drag prediction in laminar flows☆15Updated 4 years ago
- About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discret…☆15Updated last year
- Burgers equation solved by PINN in PyTorch☆24Updated 4 years ago
- FEM enhanced neural network☆20Updated 2 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆92Updated 3 years ago