Review demonstrates structured focused ion beam geometries for correlative battery characterization across dimensions, highlighting standards for matching evidence to physical claims.
Battery reactions and degradation processes frequently originate or evolve at buried interfaces, extend through complex three-dimensional composite architectures, and change with electrochemical state. Analysis of an exposed surface or an arbitrarily selected cross-section can therefore lose the positional, volumetric, or state information required for interpretation. This focused Review organizes FIB-supported correlative battery characterization according to three analytical dimensions established by focused ion beam (FIB)-defined geometries: position, depth/volume, and electrochemical state/time. Four representative workflows—orientation-preserving lift-out, tomography-guided exposure, serial PFIB-EDS-SIMS sectioning, and FIB-prepared operando observation windows—are examined through a common measurement-to-claim chain comprising geometry definition, direct signal acquisition, data transformation, derived quantities, and the highest physical inference supported by the evidence. The comparison identifies workflow-specific uncertainties associated with target relocation, milling depth, matrix effects, slice spacing, cross-modal registration, segmentation, and observation-window perturbation. It further distinguishes local structural or chemical association, cross-depth persistence, and state-resolved morphology from stronger claims concerning transport, kinetics, or degradation mechanisms, which require independent electrochemical, mechanical, spectroscopic, or modelling evidence. This framework provides a basis for selecting FIB-defined analytical geometries, reporting their uncertainty, and matching the resulting evidence to defensible physical claims in battery characterization.
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Jia et al. (2026) studied this question.
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