For the above system ⟨N agg ⟩ determined at the final time frame decreases with increasing pH from in excess of 400 at pH 3.9 to less than 80 at pH 5.1. This trend is observed for each CAPB / SLSar mole ratio although the effect is more pronounced for the SLSar rich mixtures as this surfactant has a significantly stronger response to pH (as shown in Fig. ). Each of the presented four systems undergoes an early stage logarithmic growth region which persists to a N agg of ≈ 70-80. Following this, for systems that increase further in N agg we observe a linear growth region, the gradient of which is correlated with pH. The lower the pH, the larger the gradient, and therefore the larger the resultant micelles at the end of the simulation. For the system sampled at pH 3.9, we observe a cubic power law growth region that commences at time frame ≈ 350 that is not present for the other three pH values sampled for the CAPB / SLSar 0.67 mole ratio. We note that the appearance of the cubic power law growth regime seems to correspond with the formation of branches in (and between) micelle structures (see shape and branching metrics in Fig. ). Comparison of Fig. with Fig. shows that very small amounts of branching (leading to small amounts of extended structures as defined by shape metrics) does not prevent ⟨N agg ⟩ as being fitted to a linear growth relationship. Inspection of the colored (dotted) lines in Fig. , corresponding to individual simulations, shows the extent of variation in individual simulations. In the early, logarithmic growth regions, most simulations report aggregation behavior that is similar across repeats (Fig. ). As systems present with strong linear or cubic power law growth, larger differences can occur. For example, the system corresponding to pH 3.9 (Fig. ) has a discrepancy of ≈ 500 in the reported final frame N agg value between the maximum and minimum determined values. For the same CAPB / SLSar ratio at pH 5.1 (Fig. ) a discrepancy of ≈ 10 is observed.