Machine Learning-Based Automatic Parameter Extraction
应用文章
The main advantage of the new ML Optimizer in IC-CAP is its ability to find a near-optimal set of model parameters while requiring far fewer simulations than a full-grid search. This method reduces the challenge of dimensionality, which typically arises when dealing with numerous parameters, and enables exploration of a broad range of potential parameter values. This cannot be achieved using current optimizers. On top of that, the user interface (UI) includes all necessary configurations, making it easy to apply to existing or new extraction processes. Additionally, the Python API in IC-CAP is user-friendly and requires minimal programming effort for greater flexibility.