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7 changes: 7 additions & 0 deletions CHANGELOG.md
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# Changelog of galpynostatic

# v0.1.1 (2023-09-25)

## Bug fixes

- Fix citation link, BibTeX and doi.


# v0.1.0 (2023-07-27)

This is the first Python object-oriented version of galpynostatic.
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17 changes: 7 additions & 10 deletions CITATION.bib
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@article{fernandez2023towards,
title = {Towards a fast-charging of LIBs electrode materials: a heuristic model based on galvanostatic simulations},
journal = {Electrochimica Acta},
pages = {142951},
year = {2023},
issn = {0013-4686},
doi = {https://doi.org/10.1016/j.electacta.2023.142951},
url = {https://www.sciencedirect.com/science/article/pii/S001346862301126X},
author = {F. Fernandez and E.M. Gavilán-Arriazu and D.E. Barraco and A. Visintin and Y. Ein-Eli and E.P.M. Leiva},
keywords = {Fast-charging, Lithium-Ion Battery, Heuristic Model, Galvanostatic charge},
abstract = {Fast charging is one of the most important features to be accomplished for the improvement of electric vehicles. In the search for optimal use of active materials for this aim, we present a recipe to find the conditions for fast charging, fifteen minutes for 80 % of the State-of-Charge, of lithium-ion battery's single particle electrodes, thus taking advantage of the maximum possible capacity. A guide based on a general model that considers diffusion and charge transfer limitations under constant current is proposed. This guide was constructed on the basis of our previous theoretical development. A Python free and user-friendly package is provided to handle all experimental data processing and estimations.}
title={Towards a fast-charging of LIBs electrode materials: a heuristic model based on galvanostatic simulations},
author={Fernandez, F and Gavil{\'a}n-Arriazu, EM and Barraco, DE and Visintin, A and Ein-Eli, Y and Leiva, EPM},
journal={Electrochimica Acta},
volume={464},
pages={142951},
year={2023},
publisher={Elsevier}
}
27 changes: 12 additions & 15 deletions README.md
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[![pypi version](https://img.shields.io/pypi/v/galpynostatic)](https://pypi.org/project/galpynostatic/)
[![python version](https://img.shields.io/badge/python-3.8%2B-4584b6)](https://www.python.org/)
[![mit license](https://img.shields.io/badge/License-MIT-ffde57)](https://github.com/fernandezfran/galpynostatic/blob/main/LICENSE)
[![doi](https://img.shields.io/badge/doi-10.1016/j.electacta.2023.142951-36abe8)](https://authors.elsevier.com/c/1hVzk_JcNFx-6)
[![doi](https://img.shields.io/badge/doi-10.1016/j.electacta.2023.142951-36abe8)](https://doi.org/10.1016/j.electacta.2023.142951)

**galpynostatic** is a Python package with a physics-based heuristic model to
predict the optimal electrode particle size for a fast-charging of lithium-ion
Expand Down Expand Up @@ -54,27 +54,24 @@ galpynostatic is under

If you use galpynostatic in a scientific publication, we would appreciate it if
you could cite the following
[article](https://authors.elsevier.com/c/1hVzk_JcNFx-6)
[article](https://doi.org/10.1016/j.electacta.2023.142951)

> F. Fernandez, E. M. Gavilán-Arriazu, D. E. Barraco, A. Visintin, Y. Ein-Eli,
> 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" (2023). _Electrochimica
> Acta_
> heuristic model based on galvanostatic simulations." _Electrochimica Acta 464_
> (2023): 142951.
BibTeX entry:

```bibtex
@article{fernandez2023towards,
title = {Towards a fast-charging of LIBs electrode materials: a heuristic model based on galvanostatic simulations},
journal = {Electrochimica Acta},
pages = {142951},
year = {2023},
issn = {0013-4686},
doi = {https://doi.org/10.1016/j.electacta.2023.142951},
url = {https://www.sciencedirect.com/science/article/pii/S001346862301126X},
author = {F. Fernandez and E.M. Gavilán-Arriazu and D.E. Barraco and A. Visintin and Y. Ein-Eli and E.P.M. Leiva},
keywords = {Fast-charging, Lithium-Ion Battery, Heuristic Model, Galvanostatic charge},
abstract = {Fast charging is one of the most important features to be accomplished for the improvement of electric vehicles. In the search for optimal use of active materials for this aim, we present a recipe to find the conditions for fast charging, fifteen minutes for 80 % of the State-of-Charge, of lithium-ion battery's single particle electrodes, thus taking advantage of the maximum possible capacity. A guide based on a general model that considers diffusion and charge transfer limitations under constant current is proposed. This guide was constructed on the basis of our previous theoretical development. A Python free and user-friendly package is provided to handle all experimental data processing and estimations.}
title={Towards a fast-charging of LIBs electrode materials: a heuristic model based on galvanostatic simulations},
author={Fernandez, F and Gavil{\'a}n-Arriazu, EM and Barraco, DE and Visintin, A and Ein-Eli, Y and Leiva, EPM},
journal={Electrochimica Acta},
volume={464},
pages={142951},
year={2023},
publisher={Elsevier}
}
```

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27 changes: 12 additions & 15 deletions docs/source/index.rst
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:alt: mit license

.. image:: https://img.shields.io/badge/doi-10.1016/j.electacta.2023.142951-36abe8
:target: https://authors.elsevier.com/c/1hVzk_JcNFx-6
:target: https://doi.org/10.1016/j.electacta.2023.142951
:alt: doi


Expand Down Expand Up @@ -61,26 +61,23 @@ you could cite the following article:

.. pull-quote::

F. Fernandez, E. M. Gavilán-Arriazu, D. E. Barraco, A. Visintin, Y. Ein-Eli,
E. P. M. Leiva. "Towards a fast-charging of LIBs electrode materials: a
heuristic model based on galvanostatic simulations" (2023). `Electrochimica
Acta`.
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.

BibTeX entry:

.. code-block:: bibtex
@article{fernandez2023towards,
title = {Towards a fast-charging of LIBs electrode materials: a heuristic model based on galvanostatic simulations},
journal = {Electrochimica Acta},
pages = {142951},
year = {2023},
issn = {0013-4686},
doi = {https://doi.org/10.1016/j.electacta.2023.142951},
url = {https://www.sciencedirect.com/science/article/pii/S001346862301126X},
author = {F. Fernandez and E.M. Gavilán-Arriazu and D.E. Barraco and A. Visintin and Y. Ein-Eli and E.P.M. Leiva},
keywords = {Fast-charging, Lithium-Ion Battery, Heuristic Model, Galvanostatic charge},
abstract = {Fast charging is one of the most important features to be accomplished for the improvement of electric vehicles. In the search for optimal use of active materials for this aim, we present a recipe to find the conditions for fast charging, fifteen minutes for 80 % of the State-of-Charge, of lithium-ion battery's single particle electrodes, thus taking advantage of the maximum possible capacity. A guide based on a general model that considers diffusion and charge transfer limitations under constant current is proposed. This guide was constructed on the basis of our previous theoretical development. A Python free and user-friendly package is provided to handle all experimental data processing and estimations.}
title={Towards a fast-charging of LIBs electrode materials: a heuristic model based on galvanostatic simulations},
author={Fernandez, F and Gavil{\'a}n-Arriazu, EM and Barraco, DE and Visintin, A and Ein-Eli, Y and Leiva, EPM},
journal={Electrochimica Acta},
volume={464},
pages={142951},
year={2023},
publisher={Elsevier}
}
Contact
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7 changes: 4 additions & 3 deletions galpynostatic/datasets/__init__.py
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References
----------
.. [2] Gavilán-Arriazu, E.M., Barraco, D., Ein-Eli, Y. and Leiva, E.P.M., 2022.
Galvanostatic Fast Charging of Alkali‐Ion Battery Materials at the
Single‐Particle Level: A Map‐Driven Diagnosis. `ChemPhysChem`.
.. [2] E. M. Gavilán-Arriazu, D. E. Barraco, D., Y. Ein-Eli and E. P. M. Leiva.
"Galvanostatic Fast Charging of Alkali‐Ion Battery Materials at the
Single‐Particle Level: A Map‐Driven Diagnosis.i" `ChemPhysChem` 24, no. 6
(2023): e202200665.
"""

# ============================================================================
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4 changes: 2 additions & 2 deletions galpynostatic/model.py
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Expand Up @@ -111,9 +111,9 @@ class GalvanostaticRegressor(BaseEstimator, RegressorMixin):
References
----------
.. [1] F. Fernandez, E. M. Gavilán-Arriazu, D. E. Barraco, A. Visintin,
Y. Ein-Eli, E. P. M. Leiva, 2023. Towards a fast-charging of LIBs
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`.
simulations." `Electrochimica Acta 464` (2023): 142951.
Attributes
----------
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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -8,7 +8,7 @@ build-backend = "setuptools.build_meta"

[project]
name = "galpynostatic"
version = "0.1.0"
version = "0.1.1"
authors = [{name = "Francisco Fernandez", email = "ffernandev@gmail.com"}]
readme = "README.md"
license = {file = "LICENSE"}
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