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Storage","sub_category":"Battery","monthly_downloads":57,"total_dependent_repos":1,"total_dependent_packages":0,"readme":"[![Build](https://img.shields.io/github/actions/workflow/status/TRI-AMDD/mpet/mpet-regression-test.yml?branch=development)](https://github.com/TRI-AMDD/mpet/actions/workflows/mpet-regression-test.yml)\n[![Coverage Status](https://coveralls.io/repos/github/TRI-AMDD/mpet/badge.svg?branch=development)](https://coveralls.io/github/TRI-AMDD/mpet?branch=development)\n[![readthedocs](https://readthedocs.org/projects/mpet/badge/?version=latest)](https://mpet.readthedocs.io)\n[![release](https://img.shields.io/github/v/release/TRI-AMDD/mpet)](https://github.com/TRI-AMDD/mpet/releases)\n\n# MPET -- Multiphase Porous Electrode Theory\n\nThis software is designed to run simulations of batteries with porous electrodes using porous electrode theory, which is a volume-averaged, multiscale approach to capture the coupled behavior of electrolyte and active material within electrodes. As a result, with physical parameter inputs and run protocols (specified current or voltage profiles), it makes predictions about the internal dynamics within a battery (electrolyte concentration and potential, solid phase concentrations, reaction rates, etc.) and also macroscopic, easily measurable electrochemical quantities such as total current and voltage. In this way, it is similar to the [`dualfoil`](http://www.cchem.berkeley.edu/jsngrp/fortran.html) code released by Newman and coworkers from Berkeley. This software has much of the functionality contained in `dualfoil` (it is currently missing, e.g., temperature dependence). However, beyond the standard porous electrode theory simulations, this software can also simulate electrodes in which the active materials phase separate using non-equilibrium thermodynamics within a phase field modeling framework. 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