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