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pymultieis

Installation | Examples | Documentation | Citing this work

A library for fitting a sequence of electrochemical impedance spectra (PyTorch version).

  • Implements algorithms for simultaneous and sequential fitting.

  • Written in python and based on the PyTorch library.

  • Leverages deterministic solvers from pytorch-minimize which compute the first- and second-order derivatives via autograd.

Installation

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.

Examples

Jupyter notebooks which cover several aspects of pymultieis can be found in Examples.

Documentation

Details about the pymultieis API, can be found in the reference documentation.

Citing this work

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},
}

Metadata

Release files for pymultieis 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pymultieis 0.1.2
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Table of built distributions (wheels) for pymultieis 0.1.2
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pymultieis-0.1.2-py3-none-any.whl Python 3 none any Details

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Release files / pymultieis-0.1.2.tar.gz

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