Cross-sectional analysis of lithium ion electrodes using spatial autocorrelation techniques.

Journal article

Lain, M., Apachitei, G., Roman Ramirez, L., Copley, M. and Marco, James (2022). Cross-sectional analysis of lithium ion electrodes using spatial autocorrelation techniques. Physical chemistry chemical physics : PCCP. 24 (48), pp. 29999-30009. https://doi.org/10.1039/d2cp03094b
AuthorsLain, M., Apachitei, G., Roman Ramirez, L., Copley, M. and Marco, James
AbstractJoin counting, a standard technique in spatial autocorrelation analysis, has been used to quantify the clustering of carbon, fluorine and sodium in cross-sectioned anode and cathode samples. The sample preparation and EDS mapping steps are sufficiently fast for every coating from two Design of Experiment (DoE) test matrices to be characterised. The results show two types of heterogeneity in material distribution; gradients across the coating from the current collector to the surface, and clustering. In the cathode samples, the carbon is more clustered than the fluorine, implying that the conductive carbon component is less well distributed than the binder. The results are correlated with input parameters systematically varied in the DoE coating blade gap, coating speed, and other output parameters coat weight, and electrochemical resistance.
Year2022
JournalPhysical chemistry chemical physics : PCCP
Journal citation24 (48), pp. 29999-30009
PublisherRoyal Society of Chemistry (RSC)
ISSN1463-9084
Digital Object Identifier (DOI)https://doi.org/10.1039/d2cp03094b
Publication dates
Online06 Dec 2022
Publication process dates
Accepted28 Dec 2022
Deposited20 Dec 2022
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