Semantic Resources for Managing Knowledge in Battery Research

A repository containing resources linked with the article, "Semantic Resources for Managing Knowledge in Battery Research."

Getting Started

This repository includes Jupyter notebooks, example JSON-LD files, and time-series test datasets that demonstrate semantic approaches to managing battery research data. To run the notebooks and explore the examples, follow these setup instructions.

1. Set Up a Virtual Environment (Recommended)

Using a virtual environment ensures that dependencies do not interfere with other Python projects.

Using venv (Standard Python Virtual Environment)

python -m venv venv
venv\Scripts\activate  # On Linux use: source venv/bin/activate

2. Install Requirements

Once the virtual environment is activated, install the required dependencies:

pip install -r requirements.txt

3. Run the Jupyter Notebooks

Once the virtual environment is activated, install the required dependencies:

jupyter notebook

Then navigate to the notebooks/ directory and open a notebook of interest.

Citation

@article{clark_2025,
  title={Semantic Resources for Managing Knowledge in Battery Research},
  author={Simon Clark, Corsin Battaglia, Ivano E. Castelli, Eibar Flores, Lukas Gold, Christian Punckt, Simon Stier, Philipp Veit},
  journal={ChemSusChem},
  year={2025},
  doi={10.XXXX/YYYY}
}