The olivine-type LiMXO 4 chemical search space was effectively screened using the DFT+NN method. The multi-output node architecture (diffusion barrier and cohesive energy) proved Another model was developed to identify the parameters responsible for high Li-ion conductivity in garnet-structured oxides. These parameters, mostly based on geometry, were derived from the relationships between constituent element radii and ion packing princi-ples. The Li ion transport characteristics in garnet-structured oxides were analyzed using regression analysis (support vector regression -SVR), revealing the relationships between composition, structure, and ionic conductivity. Introducing a novel computational screening approach, Sendek et al. presented a method for identifying potential solid state electrolyte materials for lithium-ion batteries. This approach allows to screen all known lithium-containing solids, tackling the challenge of simultaneously satisfying multiple requirements for high-performance electrolytes, which is challenging to achieve through experiments or computationally intensive ab-initio methods.