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 addressed through a large‐scale multimodal program involving fifteen European laboratories and facilities. Coordinated experiments on graphite/ Li‐ion full cells address two 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 workflow is demonstrated, from sample production and delivery, to metadata and data handling, generating seventy‐five concatenated datasets shared among partners. Their integrated analysis reveals that scientific conclusions strongly depend on both the observable chosen to describe electrode properties, and the characterization technique employed. Beyond providing detailed insights into specific aspects as crystal structures, redox activity, surface processes or morphology, individual experiments can also act as binary diagnostic tool. Two‐dimensional observable‐technique patterns are introduced, where each pixel encodes a yes, no or uncertain answer to a scientific question. These multi‐property metaviews enable the classification of material behavior and technique suitability according to user demand and criteria, highlighting the interdependence between measurement, extracted parameters, and scientific interpretation. This work establishes a proof‐of‐concept toward integrated and holistic battery research workflows.

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Publication Details

Journal
Advanced Energy Materials
Published
2026-07-17
DOI
https://doi.org/10.1002/aenm.71288
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

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Advanced Energy Materials
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A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

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article en

Abstract

ABSTRACT The development of material acceleration platforms in battery research requires integrating complementary techniques and correlating heterogeneous experimental datasets. Here, this challenge is addressed through a large‐scale multimodal program involving fifteen European laboratories and facilities. Coordinated experiments on graphite/ Li‐ion full cells address two 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 workflow is demonstrated, from sample production and delivery, to metadata and data handling, generating seventy‐five concatenated datasets shared among partners. Their integrated analysis reveals that scientific conclusions strongly depend on both the observable chosen to describe electrode properties, and the characterization technique employed. Beyond providing detailed insights into specific aspects as crystal structures, redox activity, surface processes or morphology, individual experiments can also act as binary diagnostic tool. Two‐dimensional observable‐technique patterns are introduced, where each pixel encodes a yes, no or uncertain answer to a scientific question. These multi‐property metaviews enable the classification of material behavior and technique suitability according to user demand and criteria, highlighting the interdependence between measurement, extracted parameters, and scientific interpretation. This work establishes a proof‐of‐concept toward integrated and holistic battery research workflows.

Advanced Energy Materials
Uppsala University (SE), Centre National de la Recherche Scientifique (FR), University of Cambridge (GB), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Synchrotron soleil (FR), European Synchrotron Radiation Facility (FR), Laboratoire d’Innovation pour les Technologies des Énergies Nouvelles et les nanomatériaux (FR), CEA Grenoble (FR), Sorbonne Université (FR), Réseau sur le Stockage Electrochimique de l'énergie (FR), Institut de Recherche Interdisciplinaire de Grenoble (FR), Bridge University (SS), Hospital Universitario Araba (ES), Institut Laue-Langevin (FR), Helmholtz-Institute Münster (DE), Institut de Ciència de Materials de Barcelona (ES), PHENIX laboratory (FR), Centre for Electrochemical Technologies (ES), National Education Institute of the Republic of Slovenia (SI), National Institute of Chemistry (SI), Chalmers University of Technology (SE), Université Grenoble Alpes (FR), Technical University of Denmark (DK), Delft University of Technology (NL)
Horizon 2020 Framework Programme
Openalex Percentile: Top 15%
Advancements in Battery Materials
DOIOpen Access PDFOpenAlex
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