Skip to content

cloud2009/LT-PINN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 

Repository files navigation

LT-PINN: Lagrangian Topology-conscious Physics-informed Neural Network for Boundary-Focused Engineering Optimization

How to Use the Code

Step 1: Unzip the LT-PINN.zip File

Step 2: Navigate to the Code Directory and Start Training

  1. Navigate to the Code Directory:

    • Open your terminal or command prompt.
    • Change to the directory containing the main.py file. For example:
      cd {yourfolder}/LT-PINN/DT/{casename}/code
  2. Run the Training Script:

    • Execute the main.py script to start training:
      python main.py

Additional Notes

  • Dependencies: Ensure you have the necessary Python packages installed. You can install them using pip:
    pip install numpy matplotlib torch

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published