Preprint of "A Multimodal Correlative SPM-SEM Approach For Tracking Electro-Structural Nanoscale Connectivity In NMC Cathodes"

This work presents a correlative AFM-in-SEM methodology for multiscale structural, elemental, and electronic characterization of NMC cathodes. By integrating SEM imaging, EDS elemental mapping, and conductive AFM within a unified vacuum environment, the workflow enables precise spatial correlation of morphology and local conductivity while minimizing contamination and misalignment. Large-area stitched datasets are processed using an automated computational pipeline to extract statistically significant particle-level descriptors. Application to cathodes at different states of health reveals a deterministic relationship between particle size, intergranular cracking, and electronic isolation, directly quantifying particle contact loss. The proposed approach establishes a robust diagnostic platform for resolving electronic decoupling mechanisms in lithium-ion battery cathodes.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-27
DOI
https://doi.org/10.5281/zenodo.21646621
Primary Topic
Electron and X-Ray Spectroscopy Techniques
Type
preprint
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preprint

Preprint of "A Multimodal Correlative SPM-SEM Approach For Tracking Electro-Structural Nanoscale Connectivity In NMC Cathodes"

Hana Hálová, David Trochta, Karel Bouzek, Šárka Paušová et al.
Zenodo (CERN European Organization for Nuclear Research)
Electron and X-Ray Spectroscopy Techniques
preprint

Preprint of "A Multimodal Correlative SPM-SEM Approach For Tracking Electro-Structural Nanoscale Connectivity In NMC Cathodes"

Hana Hálová, David Trochta, Karel Bouzek, Šárka Paušová, Jan Kramář
preprint en

Abstract

This work presents a correlative AFM-in-SEM methodology for multiscale structural, elemental, and electronic characterization of NMC cathodes. By integrating SEM imaging, EDS elemental mapping, and conductive AFM within a unified vacuum environment, the workflow enables precise spatial correlation of morphology and local conductivity while minimizing contamination and misalignment. Large-area stitched datasets are processed using an automated computational pipeline to extract statistically significant particle-level descriptors. Application to cathodes at different states of health reveals a deterministic relationship between particle size, intergranular cracking, and electronic isolation, directly quantifying particle contact loss. The proposed approach establishes a robust diagnostic platform for resolving electronic decoupling mechanisms in lithium-ion battery cathodes.

Zenodo (CERN European Organization for Nuclear Research)
Thermo Fisher Scientific (Czechia) (CZ), Innovision (Denmark) (DK), Brno University of Technology (CZ), University of Chemistry and Technology, Prague (CZ)
Electron and X-Ray Spectroscopy Techniques
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