Installation | Examples | Documentation | Citing this work
A library for fitting a sequence of electrochemical impedance spectra (PyTorch version).
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Implements algorithms for simultaneous and sequential fitting.
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Written in python and based on the PyTorch library.
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Leverages deterministic solvers from pytorch-minimize which compute the first- and second-order derivatives via autograd.
Installation of pymultieis should be done via pip:
pip install pymultieis
Getting started with pymultieis contains a quick start guide to
fitting your data with pymultieis
.
Jupyter notebooks which cover several aspects of pymultieis
can be found in Examples.
Details about the pymultieis
API, can be found in the reference documentation.
If you use pymultieis for academic research, you may cite the library as follows:
@misc{Chukwu2022,
author = {Chukwu, Richard},
title = {pymultieis: a library for fitting a sequence of electrochemical impedance spectra},
publisher = {GitHub},
year = {2022},
url = {https://github.com/richinex/pymultieis},
}