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fernandezfran committed Dec 28, 2023
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1 change: 1 addition & 0 deletions CHANGELOG.md
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### Bug fixes

- Create the `base` module with the `MapSpline` class.
- Change the project description.


## v0.2.2 (2023-12-27)
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5 changes: 2 additions & 3 deletions README.md
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[![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://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
batteries.
**galpynostatic** is a Python package with physics-based models to predict
optimal conditions for fast-charging lithium-ion batteries.


## Requirements
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5 changes: 2 additions & 3 deletions docs/source/index.rst
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:alt: doi


**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
batteries.
**galpynostatic** is a Python package with physics-based models to predict
optimal conditions for fast-charging lithium-ion batteries


Requirements
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4 changes: 2 additions & 2 deletions galpynostatic/__init__.py
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# DOCS
# =============================================================================

"""A physics-based heuristic model to predict the optimal electrode particle \
size for a fast-charging of lithium-ion batteries."""
"""A Python package with physics-based models to predict optimal conditions \
for fast-charging lithium-ion batteries."""

# =============================================================================
# IMPORTS
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2 changes: 1 addition & 1 deletion pyproject.toml
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authors = [{name = "Francisco Fernandez", email = "ffernandev@gmail.com"}]
readme = "README.md"
license = {file = "LICENSE"}
description = "A physics-based heuristic model to predict the optimal electrode particle size for a fast-charging of lithium-ion batteries."
description = "A Python package with physics-based models to predict optimal conditions for fast-charging lithium-ion batteries."
keywords = [
"battery",
"physics-based",
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