A large scale multi-modal workflow for battery characterization: from concept to implementation

Fuente: arXiv
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Autores principales: Cadiou, François, Herrera, Cinthya, Atkins, Duncan, Ayerbe, Elixabete, Baraldi, Giorgio, Belin, Stéphanie, Benayad, Anass, Blanchard, Didier, Capone, Federico, Capria, Ennio, Laskovic, Isidora Cekic, Dominko, Robert, Edström, Kristina, Gautam, Ajay, Helfen, Lukas, Iadecola, Antonella, Jacquet, Quentin, Kapun, Gregor, Li, Xinyu, Matic, Aleksandar, Mozhzhukhina, Nataliia, Naylor, Andrew J, Norby, Poul, Keefe, Chris O, Ponrouch, Alexandre, Rueff, Jean Pascal, Tchernykova, Elena, Tchitchekova, Deyana, Temprano, Israel, Vostrov, Nikita, Wagemaker, Marnix, Winter, Martin, Wölke, Christian, Vegge, Tejs, Lyonnard, Sandrine
Formato: Preprint
Publicado: 2026
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author Cadiou, François
Herrera, Cinthya
Atkins, Duncan
Ayerbe, Elixabete
Baraldi, Giorgio
Belin, Stéphanie
Benayad, Anass
Blanchard, Didier
Capone, Federico
Capria, Ennio
Laskovic, Isidora Cekic
Dominko, Robert
Edström, Kristina
Gautam, Ajay
Helfen, Lukas
Iadecola, Antonella
Jacquet, Quentin
Kapun, Gregor
Li, Xinyu
Matic, Aleksandar
Mozhzhukhina, Nataliia
Naylor, Andrew J
Norby, Poul
Keefe, Chris O
Ponrouch, Alexandre
Rueff, Jean Pascal
Tchernykova, Elena
Tchitchekova, Deyana
Temprano, Israel
Vostrov, Nikita
Wagemaker, Marnix
Winter, Martin
Wölke, Christian
Vegge, Tejs
Lyonnard, Sandrine
author_facet Cadiou, François
Herrera, Cinthya
Atkins, Duncan
Ayerbe, Elixabete
Baraldi, Giorgio
Belin, Stéphanie
Benayad, Anass
Blanchard, Didier
Capone, Federico
Capria, Ennio
Laskovic, Isidora Cekic
Dominko, Robert
Edström, Kristina
Gautam, Ajay
Helfen, Lukas
Iadecola, Antonella
Jacquet, Quentin
Kapun, Gregor
Li, Xinyu
Matic, Aleksandar
Mozhzhukhina, Nataliia
Naylor, Andrew J
Norby, Poul
Keefe, Chris O
Ponrouch, Alexandre
Rueff, Jean Pascal
Tchernykova, Elena
Tchitchekova, Deyana
Temprano, Israel
Vostrov, Nikita
Wagemaker, Marnix
Winter, Martin
Wölke, Christian
Vegge, Tejs
Lyonnard, Sandrine
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2602_09771
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A large scale multi-modal workflow for battery characterization: from concept to implementation
Cadiou, François
Herrera, Cinthya
Atkins, Duncan
Ayerbe, Elixabete
Baraldi, Giorgio
Belin, Stéphanie
Benayad, Anass
Blanchard, Didier
Capone, Federico
Capria, Ennio
Laskovic, Isidora Cekic
Dominko, Robert
Edström, Kristina
Gautam, Ajay
Helfen, Lukas
Iadecola, Antonella
Jacquet, Quentin
Kapun, Gregor
Li, Xinyu
Matic, Aleksandar
Mozhzhukhina, Nataliia
Naylor, Andrew J
Norby, Poul
Keefe, Chris O
Ponrouch, Alexandre
Rueff, Jean Pascal
Tchernykova, Elena
Tchitchekova, Deyana
Temprano, Israel
Vostrov, Nikita
Wagemaker, Marnix
Winter, Martin
Wölke, Christian
Vegge, Tejs
Lyonnard, Sandrine
Applied Physics
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.
title A large scale multi-modal workflow for battery characterization: from concept to implementation
topic Applied Physics
url https://arxiv.org/abs/2602.09771