In this study, a modeling framework is proposed for the optimization of the solid oxide fuel
cell (SOFC) electrode microstructures. This involves sequential simulations of the SOFCs
from initial powder to final electrochemical performance with artificial intelligence-assisted
multi-objective optimization. The effects of starting powder parameters such as particle size,
particle size distribution (PSD) and pore former content on cathodic overpotential and
degradation rate of SOFCs are studied. It is shown that fine particle size and/or low pore …

In this study, a numerical framework which jointly uses discrete element method, kinetic
Monte Carlo method and lattice Boltzmann method is proposed to predict the
electrochemical performance of solid oxide fuel cell cathode from raw powder. A total of 770
La 0.6 Sr 0.4 Co 0.2 Fe 0.8 O 3− δ (LSCF) cathodes with different microstructures are
numerically synthesized using various particle size, size distribution, pore former content
and sintering time. Best performance is found at a porosity of approximately 0.40. The …