For instance, Minnmann et al. identified SE particle size as a critical parameter determining charge transport in 3D reconstruction of composite cathode microstructures obtained from Focused Ion Beam-Scanning Electron Microscopy (FIB-SEM), accounting for tortuosity effects and structural inhomogeneities. Alabdali et al. from our group simulated in 3D a slurry-based manufacturing process (wet processing) of ASSB composite cathodes, incorporating conventional manufacturing parameters, and demonstrated that the degree of compression applied during the cathode manufacturing significantly affects the ionic and the electronic charge transport in thiophosphate-based electrodes. Other studies have also linked in 3D the electrode performance with its composite microstructure. For example, Neumann et al. combined theoretical and experimental approaches to identify the limiting factors for the electrochemical performance of β-LPS-based ASSBs using microcomputed tomography (micro-CT) images. The findings were that a reduced contact between the electrode layer and the current collector, along with delamination of the SE from the active particle surface, significantly influences cell performance. Another noteworthy study by Bielefeld et al. examined the influence of lithium-ion kinetics, particle arrangement, and void distribution on the electrochemical performance of NMC622/Li₆PS₅Cl composite cathodes, employing stochastically generated cathode microstructures. Their study resulted in a proposed optimized microstructure aimed at improving performance. Nonetheless, key limitations of their study include the stochastic nature of the microstructure generation process and the absence of carbon and binder domains. While a stochastic microstructure generation does not allow the investigate the influence of manufacturing parameters, the lack of the consideration of carbon and binder does not allow to reflect real-world cathodes.