A customized Python module for interactive curve fitting on potentiodynamic scan data
Authors/Creators
Description
A customized Python module for interactive curving fitting in Jupyter Notebook environment right in the browser such as Chrome.
It allows users to interactively fit Butler-Volmer equations and its variations to potentiodynamic scan curves. The optimization process is powered by non-linear least squares algorithms from Scipy. It features an user-friendly plotting GUI with Jupyter Notebook widgets. This current release provides options for interactive data range selection, linear/log axis switching, auto-zoomed plotting, and post-IR compensation. The fitted results include corrosion parameters such as Ecorr, Icorr, Ba, Bc, B, Rp, and fitting goodness (R2 score and Chi2 score).
Notes
Files
ganglix/potentiodynamic-polarization-handler-v1.0.0.zip
Files
(17.6 kB)
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md5:2745dc020149b213ac198b868603f4e2
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Additional details
Related works
- Is supplement to
- https://github.com/ganglix/potentiodynamic-polarization-handler/tree/v1.0.0 (URL)