The use of computational modeling has been gaining relevance as a way to reduce cost, time and resources in the innovation process of the battery industry.[1] One of the most impactful ways in which computational modeling has been employed has been in the optimization of the electrode manufacturing process. Electrode manufacturing has a critical role in the performance of the end-devices and even in their aging. Electrode thickness, active material size, microstructure and material disposition are just a few of the parameters that have to be considered during the manufacturing process and small changes in composition, deposition and even drying processes can have dire effects on them. For manufacturing related optimizations, 3-D modelling has shown a remarkable flexibility and usefulness. This approach can be used to simulate and optimize the whole pipeline of manufacturing processes including slurry formation, deposition, drying and calendering .