These case studies highlight that the resistor network model can guide the understanding of transport and the effect of particle size in various composites of different active materials and different inorganic and polymeric solid electrolytes. Thereby, the model offers a tool to accelerate the optimization of composites, either when new chemistries are investigated, or when microstructures are designed, by providing predictive power for experimentalists. Even though the large resistor networks computed in this work were used with a higher computational power, reproducible simulations can already be achieved with smaller networks (Figure ), allowing experimentalists to compute a first guess regarding transport trends without usage of high-performance computing infrastructure. However, the model runs into limitations for more advanced research questions, e.g., for composite structures without welldefined microstructures or additives that cannot be simply modelled by a voxel approach (Figure ). With that, to capture complex electrode microstructures, occurring reaction pathways and chemo-mechanical influences in its complete detail, continuum models are still an important and highly valuable approach.