This behaviour is also observable in the Fig. with the secondary neighbor peak of ionomerionomer interactions. Water-rich slurries exhibit a distinct twin peak, which converges into a diffuse peak at 50 nm for IPA-rich slurries. The difference in aggregation can be inferred from the coordination numbers for each pair-wise interactions. These were computed by integrating the individual pair-distribution functions over the domain length. From Table . 4 we can see a strong decrease in the primary co-ordination number for ionomer-ionomer interactions, while the secondary co-ordination number exhibits a mild decay with decreasing with water content. The change in aggregation is particularly pronounced with regards to carboncarbon aggregation as the primary co-ordination number drops sharply with decreasing water content. By extension, the second neighbor peak exhibits twin-packing behaviour with distinct contributions from compact and dispersed neighbours for water-rich slurries, which changes into predominantly compact packed structures for IPA-rich slurries. Performing a fourier transform on the solvated system's RDF gives us the structure factor of the aggregate system, shown in Fig. . Scattering experiments provide reliable insights into the complex microstructures of aggregated colloidal dispersions. This plot exhibits an increase in average intensity with increase IPA content. This can be ascribed to an increase in the volume fraction of small particles/aggregates. The extreme intensity of the S(0) peak can be attributed to the high degree of order exhibited by clusters, meanwhile the medium k peaks arise from nearest neighbour particles, which increase in ordering with increasing alcohol content. The structure factor plots can prove valuable to validate the obtained microstructures against experimental diffraction measurements. The two-point correlation functions, normalised to 1 at r = 0 have been plotted for the length of the entire system and presented in Fig. . In the context of our current analysis, since most of the structural variance lies within 100 nm, this work will discuss the short ranged plots of the two-point correlation function presented in Fig. . The initial rapid decay region of the function denotes the size of the fundamental structural unit, which is then distributed uniformly across the microstructural domain. In the case of carbon particles (Fig. (i)) we observe the function approach its steady state value ~ 80 nm, which is also observed for the pore phase (Fig. Following the investigation of agglomeration behaviour and descriptors of spatial distribution of the components that constitute the CL, we examine the characteristics of the pore phase. The size, distribution and tortuosity of the pores strongly influence the electrochemical performance of electrodes. From Fig. we observe a majority of chords in the pore phase lying between 20 and 40 nm. We observe an increase in the average chord length, with decreasing both extremes in the ink, with intermediate water -IPA ratios exhibiting a left shifted chord length distribution. A similar trend can also be observed in the pore size distribution. While the pore sizes exhibit a normal distribution across a mean, the mean pore size tends to a higher value with decreasing water content.