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"
☆15Updated 10 months ago
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:
- PINN (Physics-Informed Neural Networks) for the 2D heat equation☆11Updated last year
- Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with long sho…☆19Updated 7 months 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 Direct and Inverse Heat Conduction Problems☆14Updated 2 years ago
- Physics-informed deep learning for structural dynamics under moving load☆14Updated 8 months ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆36Updated 2 years ago
- This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing t…☆11Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆34Updated 2 years ago
- Efficiently solve the 2D heat equation using a Physics-Informed Neural Network (PINN). Simulate and predict temperature distributions wit…☆11Updated last year
- ☆9Updated 7 months ago
- Research/development of physics-informed neural networks for dynamic systems☆23Updated 7 months ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆18Updated last year
- Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning☆20Updated 3 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆16Updated 3 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- ☆19Updated last year
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆17Updated 3 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- ☆38Updated 3 years ago
- This is a repository containing the different MATLAB codes and the .mat archives with the data samples that are referenced to within my t…☆14Updated 3 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 3 months ago
- I am doing a surrogate optimization of a transonic airfoil. I am using an artificial neural network as my surrogate model to approximate …☆9Updated 4 years ago
- Python scripts for physics-informed neural networks for corrosion-fatigue prognosis☆41Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitati…☆12Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 2 years ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆14Updated 3 weeks ago
- Physics-guided neural network framework for elastic plates☆40Updated 3 years ago