Even though this work moves in a positive direction in the development of low-cost, highthroughput catalyst screening methods, there are some issues that remain with RMG. The first is the model generation, as reaction networks are only expanded if a species or reaction has a high flux relative to the core species. While a reaction or species may have a low initial flux, it may be a precursor to a high flux reaction that should be included in the model. The best way to avoid model truncation errors is to consider all species and reactions regardless of flux, but this significantly increases computational cost and time as well as requires an additional step for model reduction.