Pair-interactions, according to Eq.3.3, between different material constituents are calibrated in such a way that the properties of the simulated structure mimics the properties of the experiments. All forces are calibrated in the slurry equilibration and the drying step. In particular, during the equilibration of the slurry, the simulated model should display the same density as the experiment. Typically such simulations also require a calibration of the viscosity , however, similarly as in previous work on Li-ion batteries , on account of the large computational cost of the realistically shaped particles, this was not considered in this proof-of-concept work. Once both the experimental and simulated density show an agreement, the model is considered to be well-calibrated and the resulting microstructure may be used in the subsequent processing steps. In this work, a multi-objective Bayesian optimization algorithm is employed to calibrate the model. The optimization model transforms a multi-objective problem, i.e., the optimization of several target parameters β from a set N , into a single cost-objective function,