A large scale multi-modal workflow for battery characterization: from concept to implementation
Abstract
The development of material acceleration platforms in battery research requires integrating complementary techniques and correlating heterogeneous experimental datasets. Here, this challenge is tackled in a large-scale multimodal program involving fifteen laboratories and facilities across Europe. Coordinated multi-site experiments are performed on state-of-the-art graphite / LiNiO2 Li-ion full cells to address two archetypal scientific questions: is the electrolyte composition impacting electrode properties, and how do electrode materials evolve when cells are cycled to their end-of-life? A fully standardized and centralized workflow is demonstrated, from sample production and delivery, to metadata and data handling, generating seventy-five concatenated datasets shared among all partners. Their integrated analysis shows that scientific conclusions depend critically on both the observable chosen to describe electrode properties, and the measurement technique employed. Individual experiments provide detailed information into specific aspects, such as crystal structures, redox activity, surface processes, morphology, etc., but can also function as binary diagnostic tool. Two-dimensional observable-technique patterns are introduced, in which each pixel encodes a yes, no or uncertain answer to a given scientific question. These patterns serve as multi-property metaviews, e.g. visual genotypes, enabling to classify material behavior and technique suitability according to predefined user demand and criteria, highlighting the interdependencies between measurement choices, extracted parameters and scientific interpretation. This multimodal workflow establishes a proof-of-concept for correlative analysis and underscores challenges toward fully integrated, automated and holistic approaches in energy material science.
Cite
@article{arxiv.2602.09771,
title = {A large scale multi-modal workflow for battery characterization: from concept to implementation},
author = {François Cadiou and Cinthya Herrera and Duncan Atkins and Elixabete Ayerbe and Giorgio Baraldi and Stéphanie Belin and Anass Benayad and Didier Blanchard and Federico Capone and Ennio Capria and Isidora Cekic Laskovic and Robert Dominko and Kristina Edström and Ajay Gautam and Lukas Helfen and Antonella Iadecola and Quentin Jacquet and Gregor Kapun and Xinyu Li and Aleksandar Matic and Nataliia Mozhzhukhina and Andrew J Naylor and Poul Norby and Chris O Keefe and Alexandre Ponrouch and Jean Pascal Rueff and Elena Tchernykova and Deyana Tchitchekova and Israel Temprano and Nikita Vostrov and Marnix Wagemaker and Martin Winter and Christian Wölke and Tejs Vegge and Sandrine Lyonnard},
journal= {arXiv preprint arXiv:2602.09771},
year = {2026}
}
Comments
32 pages, 6 figures, research article, keywords: Battery, Workflow, Experimental characterization, Multi-modal, Large scale, Correlation, Aging