Examples

This is the examples section, here you can find some notebooks that will guide you through the basic usage of pyLOM. The data used for these notebooks can be found in the following Hugging face repository: https://huggingface.co/datasets/bef-18/pyLOM_examples/tree/main

• Example of parallel Proper Orthogonal Decomposition
• 2D Airfoil shape optimization via Reinforcement Learning
  • Define operating conditions
  • Shape parameterization and design space
  • Define the solver
  • Create the environment
  • Define the PPO agent and train it on the environment
  • Test the agent
  • Evaluate the agent
• Using the agent on realistic scenarios
• 3D Wing shape optimization via Reinforcement Learning
  • Define operating conditions
  • Shape parameterization and design space
  • Define the solver
  • Create the environment
  • Define the PPO agent and train it on the environment
  • Test the agent
• SHRED at scale
  • Step 1: parallel POD and sensor interpolation
  • Step 2: Fit SHRED
  • Step 3: inference SHRED
  • Step 4: parallel reconstruction
• Train a PINN (Physics Informed Neural Network) with a custom PDE
  • Define the collocation points
  • Define the PDE
  • Define the boundary conditions
  • Train the pinn
  • Make the predictions and plot the results
  • Save and load the model
• How to train an MLP using the Pipeline
  • Import classes and define paths
  • Define scalers if needed
  • Create datasets
  • Model creation
  • Run the pipeline
  • Show plots
  • Evaluate the model with some metrics
• How to train an KAN using the Pipeline
  • Import classes and define paths
  • Define scalers if needed
  • Create datasets
  • Model creation
  • Run the pipeline
  • Show plots
  • Evaluate the model with some metrics