A tool for empirical Arrhenius equation fitting for thermally-induced physicochemical processes.
Project description
sierras
sierras is a tool for empirical Arrhenius equation fitting for thermally-induced physicochemical processes.
Requirements
You need Python 3.8+ to run sierras.
Installation
You can install the most recent stable release of sierras with pip
python -m pip install -U pip
python -m pip install -U sierras
Usage
A simple example of use:
import sierras
areg = sierras.ArrheniusRegressor()
areg.fit(Temperatures, target_process)
areg.activation_energy_ # in this case in eV
areg.extrapolated_process_ # extrapolated process at room temperature
areg.plot.arrhenius(Temperatures, target_process) # plot the fitting
For a more detailed explanation you can read the tutorial and the API.
License
Contact info
You can contact me at ffernandev@gmail.com
Project details
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sierras-0.2.4.tar.gz
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