Interdisciplinary collaboration in battery science is required for rapid evaluation of better compositions and materials. However, diverging domain vocabulary and non-compatible experimental results slow down cooperation. We critically assess the current state-of-the-art and develop a structured data management and interpretation system to make data curation sustainable. The techniques we utilize comprise ontologies to give a structure to knowledge, database systems tenable to the FAIR principles, and software engineering to break down data processing into verifiable steps. To demonstrate our approach, we study the applicability of the Galvanostatic Intermittent Titration Technique on various electrodes. Our work is a building block in making automated material science scale beyond individual laboratories to a worldwide connected search for better battery materials.
@article{arxiv.2505.13566,
title = {Workflows and Principles for Collaboration and Communication in Battery Research},
author = {Yannick Kuhn and Bhawna Rana and Micha Philipp and Christina Schmitt and Roberto Scipioni and Eibar Flores and Dennis Kopljar and Simon Clark and Arnulf Latz and Birger Horstmann},
journal= {arXiv preprint arXiv:2505.13566},
year = {2025}
}