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Multimodal Nanoscale Tomographic Imaging for Battery Electrodes
Author(s) -
Müller Simon,
Lippuner Manuel,
Verezhak Mariana,
De Andrade Vincent,
De Carlo Francesco,
Wood Vanessa
Publication year - 2020
Publication title -
advanced energy materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.08
H-Index - 220
eISSN - 1614-6840
pISSN - 1614-6832
DOI - 10.1002/aenm.201904119
Subject(s) - materials science , carbon black , electrode , nanoscopic scale , particle (ecology) , battery (electricity) , graphite , tomographic reconstruction , image resolution , electrolyte , nanotechnology , tomography , nanoparticle , carbon fibers , composite number , optics , composite material , power (physics) , chemistry , natural rubber , oceanography , physics , quantum mechanics , geology
Abstract Accurate representations of the 3D structure within a lithium‐ion battery are key to understanding performance limitations. However, obtaining exact reconstructions of electrodes, where the active particles, the carbon black and polymeric binder domain, and the pore space are visualized is challenging. Here, it is shown that multimodal imaging can be used to overcome this challenge. High‐resolution ptychographic X‐ray computed tomography are combined with lower resolution but higher contrast transmission X‐ray tomographic microscopy to obtain 3D reconstructions of pristine and cycled graphite‐silicon composite electrodes. This cross‐correlation enables quantitative analysis of the surface of active particles, including the heterogeneity of carbon‐black and binder domain and solid‐electrolyte interphase coverage. Capturing the active particles as well as the carbon black‐binder domain allows using these segmented structures for electrochemical simulations to highlight the influence of the particle embedding on local state of charge heterogeneities.