SPMe+: A Spatially-Resolved SPM for LIB/LMB

Installation

Clone this repo to your machine.

Install the UV package manager:

# On macOS and Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
# On Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Navigate to the project's root directory and install project dependencies with UV:
```
uv sync
```

Name		Name	Last commit message	Last commit date
CSV_DRIVECYCLES		CSV_DRIVECYCLES
MAT_CELLDEFS		MAT_CELLDEFS
XLSX_CELLDEFS		XLSX_CELLDEFS
cellparams		cellparams
lumped		lumped
performance_data		performance_data
performance_data_graphite		performance_data_graphite
.gitignore		.gitignore
README.md		README.md
bib.bib		bib.bib
gen_PDAE_dataset.py		gen_PDAE_dataset.py
gen_SPMe_dataset.py		gen_SPMe_dataset.py
ifacconf.bst		ifacconf.bst
ifacconf.cls		ifacconf.cls
ifacconf.layout		ifacconf.layout
plot_results.py		plot_results.py
plot_results_graphite.py		plot_results_graphite.py
pyproject.toml		pyproject.toml
report.log		report.log
simCC.py		simCC.py
simDischarge.py		simDischarge.py
simPDAE.py		simPDAE.py
spme.py		spme.py
thesisformat-lg.mplstyle		thesisformat-lg.mplstyle
train_IIR.py		train_IIR.py
train_IIR_graphite.py		train_IIR_graphite.py
util.py		util.py
uv.lock		uv.lock

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SPMe+: A Spatially-Resolved SPM for LIB/LMB

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