Catalytic reactors for industrial processes, such as Fischer-Tropsch or methanol synthesis, typically operate at high pressures, which leads to a catalyst surface covered with adsorbed reaction intermediates. Intensifying reactors for these processes or tailoring improved catalysts can be performed with multiscale modeling , which requires accurate adsorption models that capture the high-coverage phenomena. The Langmuir adsorption model for adsorbates on a solid surface is a cornerstone of contemporary modeling in heterogeneous catalysis . The model assumes that a catalyst can be described as (i) a homogeneous flat surface composed of a single type of site, (ii) where no more than a single monolayer of adsorbates can form, and (iii) the adsorbates do not interact with one another -i.e. the adsorbed species behave ideally . In this ideal model, an adsorbate acts merely as a site blocker against other adsorbates, and it does not otherwise influence the thermophysical properties of co-adsorbed species. Although all three assumptions are easily falsifiable, the Langmuir model is nonetheless capable of semi-quantitative adsorption/desorption behavior predictions, particularly in mean-field microkinetic (MKM) simulations.