demonstrated that using CMC in Si-carbon nanoplatelets blends led to higher viscosity than PAA. They attributed this to higher CMC molecular mass (700 K vs. 450 K for PAA) because of the more rigid CMC polymeric backbone and poorer charge density that unbalanced the attractive interparticle force. The Si size influence has been studied in the slurry rheology with 35% solid content, revealing a higher viscosity for Si nanoparticle-graphite blends (Si Nps/Gr) than Si microparticle-graphite blends (Si µps/Gr). Another helpful technique is to perform frequency sweeps, where the storage (G') and loss (G") modulus can provide hints about the slurry stability and microstructure. However, these slurry studies are reported less frequently. Returning to Si size dependence, frequency sweep results displayed an elastic response for Si Nps/Gr (G'> G") contrary to Si µps/Gr (G"> G'), which offered a viscous-like behavior. These imply that while Si (Nps/Gr will result in a homogeneous mass loading coating, Si Nps/Gr will lead to a stable slurry, avoiding particle settling after prolonged rest. Regarding calendering and porosity optimization, Jeschull et al. have focused on the graphite particle size impact on the capacity retention and coulombic efficiency of graphite-silicon blends, leading to improved electrochemical efficiency when using smaller graphite particles. Karkar et al. demonstrated that calendering decreases the cycle stability in Si/Carbon nanoplatelets/CMC electrodes due to the break of particle-binder bridges, decreasing the electrode' mechanical strength. Other calendering studies suggest that porous structures collapse under high pressure. Herein, we report the effect of mixing, coating, and calendering manufacturing parameters in the slurry rheology, morphology, microstructured, and electrochemical performance of silicon nanoparticles and graphite blends (Si/Gr). Our study presents the correlation of the solid and silicon content on the slurry rheology, the comma gap effect on the electrode microstructured, and the calendering percentage on the ionic resistance and the electrochemical performance. Considering that manufacturing optimization is needed to calibrate the machine learning and physical models, these results can be used to validate manufacturing process simulations as the ones carried out in our ARTISTIC project and adjust industrial electrode fabrication. 2. Results and discussion Different Si/Gr blend anodes were prepared for rheological, morphology, and electrochemical investigation. Rheology measurements were conducted to evaluate the impact of solid content and electrode formulation on the viscosity vs. applied shear rate profile and further rheological properties of the slurry.