Energy storage technologies, such as Lithium-Ion Batteries (LIBs), play a major role in the ongoing global energy transition. LIBs play a very important role in our societies, as illustrated by the wide variety of their successful applications, from portable electronics to transportation LIB cells are made of two porous electrodes supported on current collectors, and a porous separator. The electrodes are composites made of Active Material (AM) ensuring lithiation and de-lithiation electrochemical reactions, carbon additives ensuring good electrical conductivity, and polymeric binders ensuring mechanical integrity. The pores within the electrodes and the separators are filled with liquid electrolyte in order to ensure lithium-ion exchange between the electrodes upon the electrochemical cycling of the LIB cells. The microstructure of the electrodes, defined by the spatial organization of the AM, carbon additives, binder and pores, determine the practical properties of the LIB cells, such as their energy and power densities, lifetime and safety. The state-of-the-art approach for preparing these electrodes is based on solvent-based (or wet) processing. The latter consists of a complex sequence of steps, from a slurry preparation to its coating and drying and the calendering of the resulting electrodes . Organic solvents such as N-Methyl-2-Pyrrolidone (recognized to be toxic) are used for the manufacturing of the positive electrodes while water is typically used for the manufacturing of the negative ones. While the solvent-based electrode manufacturing approach is massively used in industry, it presents some drawbacks, such as the difficulty to optimize the associated numerous manufacturing parameters (e.g. slurry viscosity, coating speed, drying rates) and the energy consumption needed for the drying step . By analyzing the carbon and binder domain distribution, Liu et al. discussed how slurry formulation and calendering degree affect the electrode performance. Alabdali et al. calculated the microstructure's electronic conductivity and ionic geometrical tortuosity factor to describe the dynamic relationship between pressure, microstructure, and conductivity. Understanding the relationship between manufacturing parameters and microstructure can optimize the process to produce electrodes with desired characteristics and performance specifications .