Network Conversion
Symbolic conversion between Cauer (ladder) and Foster (parallel) RC networks.
Thermal Network
A Python library for thermal network model identification, fitting and conversion.
This package provides tools for converting between Cauer (ladder) and Foster (parallel) RC networks and for fitting new models to impedance data. It uses symbolic algebra for high-precision network conversion and levrages just-in-time compilation for high-performance optimization.
Key Features
Section titled “Key Features”Model Fitting
High-performance fitting of Foster models to impedance data using JAX and Optax.
Automatic Model Selection
Use AIC/BIC criteria to find the optimal number of RC layers for your model.
Contact
Section titled “Contact”For any inquiries, please contact Erick Schulz using schulz@plexim.com.