Description:
galpynostatic 0.5.4
galpynostatic
galpynostatic is a Python/C++ package with physics-based and data-driven
models to predict optimal conditions for fast-charging lithium-ion batteries.
Contact
If you have any questions, you can contact me at ffernandev@gmail.com
Requirements
You need Python 3.12+ to run galpynostatic. All other dependencies, which are the
usual ones of the scientific computing stack
(matplotlib, NumPy,
pandas, scikit-learn
and SciPy), are installed automatically.
Installation
You can install the latest stable release of galpynostatic with
pip
python -m pip install --upgrade pip
python -m pip install --upgrade galpynostatic
Usage
To learn how to use galpynostatic you can start by following the
tutorials
and then read the
API.
License
galpynostatic is licensed under the
MIT License.
Citations
If you use galpynostatic in a scientific publication, we would appreciate it if
you could cite the main article of the package:
F. Fernandez, E. M. Gavilán-Arriazu, D. E. Barraco, A. Visintin, Y. Ein-Eli and
E. P. M. Leiva. "Towards a fast-charging of LIBs electrode materials: a
heuristic model based on galvanostatic simulations." Electrochimica Acta 464
(2023): 142951. DOI: https://doi.org/10.1016/j.electacta.2023.142951
For certain modules of the code, please refer to other works:
galpynostatic.metric: TODO DOI
galpynostatic.datasets: https://doi.org/10.1002/cphc.202200665
BibTeX entries can be found in the
CITATIONS.bib
file.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
