To interpret the results of our linear regression model, we recall that each value of the EC curve χ i represents the alternating sum of the Betti numbers β 0i and β 1i . We recall that β 0i represents the number of connected components at filtration level i and β 1i represents the number of cycles (holes) at filtration level i. Thus, we can decompose the EC curve simulation with low HFE, we observe water as being distributed homogeneously across the SAM surface. This results in small spatial fluctuations in water density on the surface which induce cycles and connected components that appear during a small portion of the filtration. This further illustrates how the EC curve can allow a simple linear model to identify complex changes in molecular density distribution in a simulation.